From a5e0116e338935040225a36690f1da075f789a97 Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Mon, 25 Aug 2025 18:27:39 +0100 Subject: [PATCH 01/32] Update mysteries day --- tutorials/W2D5_Mysteries/W2D5_Intro.ipynb | 2 +- tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb b/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb index e7bea670c..263e39f50 100644 --- a/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb +++ b/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb @@ -28,7 +28,7 @@ "\n", "**By Neuromatch Academy**\n", "\n", - "__Content creators:__ Megan Peters, Joseph LeDoux, Matthias Michel, Daniel Dennett" + "__Content creators:__ Megan Peters, Joseph LeDoux, Matthias Michel, Claire Sergent, Daniel Dennett" ] }, { diff --git a/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb b/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb index af88d951e..bf0d9f8fe 100644 --- a/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb +++ b/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb @@ -23,7 +23,7 @@ "\n", "**By Neuromatch Academy**\n", "\n", - "__Content creators:__ Steve Fleming, Guillaume Dumas, Samuele Bolotta, Juan David Vargas, Hakwan Lau, Anil Seth, Megan Peters\n", + "__Content creators:__ Steve Fleming, Guillaume Dumas, Samuele Bolotta, Juan David Vargas, Hakwan Lau, Anil Seth, Claire Sergent, Megan Peters\n", "\n", "__Content reviewers:__ Samuele Bolotta, Lily Chamakura, RyeongKyung Yoon, Yizhou Chen, Ruiyi Zhang, Patrick Mineault, Alex Murphy\n", "\n", From 1fffb026989ed50d42811594708b012d5ba947b4 Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 08:56:00 +0100 Subject: [PATCH 02/32] finish W1D1 changes --- tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb | 2 +- tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb b/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb index 19bf45cc1..a98a86bfd 100644 --- a/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb +++ b/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb @@ -1563,7 +1563,7 @@ "# Section 3: Dissecting TrOCR\n", "\n", "TrOCR is a model that performs printed optical character recognition and handwriting transcription using the transformer model. But what's inside of it?\n", - "It's important to note here that the original transformer model consisted of an encoder step, following by a decoder step. Taken together, this was the initial Transformer model of Vaswani et al. However, subsequent research into transformers led researchers to find applications of the encoding step specifically (encoding models like BERT) and also specific applications of the decoder step (autoregressive models like GPT). This meant that the terminology then changed to be *encoder transformers* and *decoder/causal/autoregressive transformers*. TrOCR is an example of the original transformer setup (both an encoder step and decoder step joined together). The image below outlines this setup. This also matches the transformer architecture given in the video above." + "It's important to note here that the original transformer model consisted of an encoder step, followed by a decoder step. Taken together, this was the initial Transformer model of Vaswani et al. However, subsequent research into transformers led researchers to find applications of the encoding step specifically (encoding models like BERT) and also specific applications of the decoder step (autoregressive models like GPT). This meant that the terminology then changed to be *encoder transformers* and *decoder/causal/autoregressive transformers*. TrOCR is an example of the original transformer setup (both an encoder step and decoder step joined together). The image below outlines this setup. This also matches the transformer architecture given in the video above." ] }, { diff --git a/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb b/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb index 9847fdf6f..f0c6984df 100644 --- a/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb +++ b/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb @@ -187,7 +187,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high-definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -620,7 +620,7 @@ "\n", "Let's put ourselves in the mindset of a cognitive scientist studying handwriting. We're interested in how people learn to recognize new characters. Indeed, humans display low **sample complexity** when learning new visual concepts: they seem to grasp new concepts with very few presentations, generalizing effortlessly. In AI, learning from $k$ labeled examples is known as $k$-shot learning; one-shot and few-shot learning refer to learning from one or a few labeled examples.\n", "\n", - "A good dataset to investigate one-shot learning is the Omniglot dataset. Omniglot has sometimes been described as *MNIST, transposed*. Instead of **thousands** of examples from **10** digit classes, Omniglot consists of **20** instances from **1623** character classes. These character classes are sourced from 50 alphabets, both natural (e.g. Cherokee or Greek) and constructed (e.g. the alien alphabet from the TV show Futurama). \n", + "A good dataset to investigate one-shot learning is the Omniglot dataset. Omniglot has sometimes been described as *MNIST, transposed*. Instead of **thousands** of examples from **10** digit classes (many examples, few classes), Omniglot consists of **20** instances from **1623** character classes (few examples, many classes). These character classes are sourced from 50 alphabets, both natural (e.g. Cherokee or Greek) and constructed (e.g. the alien alphabet from the TV show Futurama). \n", "\n", "![Sample characters from the Omniglot dataset](https://github.com/brendenlake/omniglot/raw/master/omniglot_grid.jpg)\n", "\n", @@ -992,7 +992,7 @@ "name": "python3" }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -1006,7 +1006,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.13.7" } }, "nbformat": 4, From c79c218cc6f885ba983b06b2e14eaf7fc84acf5b Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 08:56:12 +0100 Subject: [PATCH 03/32] W2D2 changes --- tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb | 2 +- tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb | 4 ++-- tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb index a5c1ed927..70c392fa1 100644 --- a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb +++ b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb @@ -39,7 +39,7 @@ "\n", "# Tutorial Objectives\n", "\n", - "*Estimated timing of tutorial: 90 minutes*\n", + "*Estimated time of tutorial: 90 minutes*\n", "\n", "In this tutorial, we'll explore how task specification affects generalization in networks. We will use the same base architecture (a convolutional neural network / CNN) to perform multiple different tasks. We will explore the number of training points and number of epochs needed to train these networks up to a specific accuracy value. Additionally, we will explore how well representations learned for a given task generalize, and whether these representations can be used to solve the other tasks.\n", "\n", diff --git a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb index ad7a68180..500b4da85 100644 --- a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb +++ b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb @@ -796,7 +796,7 @@ "\n", "Here $\\tau$ is a temperature parameter that controls the sharpness of the distribution. You can think of it as a cross-entropy loss with a single pseudo-class corresponding to similar labels and the negative pairs corresponding to different labels. \n", "\n", - "### Decoupled constrastive learning\n", + "### Decoupled contrastive learning\n", "\n", "InfoNCE typically requires substantial batch sizes—commonly 128 or larger—to perform optimally. The need for large batch sizes stems from the necessity for diverse negative samples in the batch to effectively learn the contrasts. However, large batch sizes can be impractical in resource-constrained settings or when data availability is limited.\n", "\n", @@ -1658,7 +1658,7 @@ "\n", "Through practical exercises with the MNIST dataset, we've seen how contrastive learning can be implemented. The session highlighted the intuitive appeal of contrastive learning: learning by comparison, which is a natural way for both humans and machines to understand the world.\n", "\n", - "Let's bring this back to the overall goal of the overall theme of the course, **generalization**. So far, we've looked at how tasks are defined by cost functions, specifications of different losses. Some tasks require models to learn representatinos that are not task-specific but can be very task general in large parts, and specialised (task-specific) in other parts. For example, most of a CNN architecture might specialise in learning features present in the real world: shapes, colors, lines. Contrastive learning is a way we can efficently make use of the large amounts of unlabeled data in the world. It's also a task that, over large datasets, results in models learning very rich, general representations. \n", + "Let's bring this back to the overall goal of the overall theme of the course, **generalization**. So far, we've looked at how tasks are defined by cost functions, specifications of different losses. Some tasks require models to learn representations that are not task-specific but can be very task general in large parts, and specialised (task-specific) in other parts. For example, most of a CNN architecture might specialise in learning features present in the real world: shapes, colors, lines. Contrastive learning is a way we can efficiently make use of the large amounts of unlabeled data in the world. It's also a task that, over large datasets, results in models learning very rich, general representations. \n", "\n", "Take a moment to think about all the ways that learning via contrastive learning might give a network (human or artificial) a rich set of representations. We'll soon get to studying how to measure representations and across multiple systems and their geometry. But first, let's address another method to learn tasks that's a little bit different to what we've seen before: Reinforcement Learning." ] diff --git a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb index 98511191d..991ce8d1e 100644 --- a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb +++ b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb @@ -515,7 +515,7 @@ "\n", "$$R(T) = \\sum_{t = 1}^T (p^* - \\mathbb{E}(p_{a_t})),$$\n", "\n", - "where $p^*$ is the probability of the reward for the best arm, i.e., max($p_L$, $p_r$). $\\mathbb{E}(p_{a_t})$ corresponds to the expected probability of reward for the action that was chosen at the previous time $t$." + "where $p^*$ is the probability of the reward for the best arm, i.e., max($p_L$, $p_R$). $\\mathbb{E}(p_{a_t})$ corresponds to the expected probability of reward for the action that was chosen at the previous time $t$." ] }, { From d24dceb91d681b04281ab78faa0d68e3a5598844 Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 09:14:42 +0100 Subject: [PATCH 04/32] W1D3 changes --- .../W1D3_Tutorial1.ipynb | 4 +-- .../W1D3_Tutorial2.ipynb | 2 +- .../W1D3_Tutorial3.ipynb | 6 ++-- .../W1D3_Tutorial4.ipynb | 2 +- .../W1D3_Tutorial5.ipynb | 33 ++++++++++++++++--- 5 files changed, 36 insertions(+), 11 deletions(-) diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb index 10d865eed..51a87fa5d 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb @@ -1120,7 +1120,7 @@ }, "outputs": [], "source": [ - "# @title Train adversirally robust model\n", + "# @title Train adversirially robust model\n", "\n", "# model_robust = Net().to(args.device)\n", "# optimizer = optim.Adadelta(model_robust.parameters(), lr=args.lr)\n", @@ -1532,7 +1532,7 @@ "\n", "The color-coded matrix shows the dot product similarity between activations for the training images (rows) and test images (columns)--yellow means that the two images are highly similar based on the dot product of the activations for those images, and dark blue means the two images are highly dissimilar. The goal of this exercise is to explore how the predicted leaning direction of the test stimuli is determined by your leaning ratings of the training stimuli, and the similarity of the training and test stimuli.\n", "\n", - "1) Using the matrix, find training and test images that are highly similar and play around with the rating of the training image. How much does the predicted learning rating for the test image change? Try this for a few different pairs.\n", + "1) Using the matrix, find training and test images that are highly similar and play around with the rating of the training image. How much does the predicted leaning rating for the test image change? Try this for a few different pairs.\n", "\n", "2) Now find a highly dissimilar pair and play with the rating. How much does the predicted leaning of the test image change? Try this for a few different pairs.\n", "\n", diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb index d788fd7be..fbd860a10 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb @@ -1698,7 +1698,7 @@ "- Characterized the computation that happens across different layers of a network as a path, with each step changing the geometry of the representation to go from input pixels to target labels\n", "- Examined the representational geometry paths for different model architectures and different inputs and learned how to interpret them\n", "\n", - "We used this method to examine how models trained on adversarial stimulu (vs control) differentially treat inputs that are both normal and adversarial. We saw that the category / class level similarity structure, which was different for the standard model on adversarial stimuli, resulting in lower accuracies, actually has a divergent path during the conversion from input data to output labels. This is another link into the idea of **similarity** as a lens that helps us understand **generalization**." + "We used this method to examine how models trained on adversarial stimuli (vs control) differentially treat inputs that are both normal and adversarial. We saw that the category / class level similarity structure, which was different for the standard model on adversarial stimuli, resulting in lower accuracies, actually has a divergent path during the conversion from input data to output labels. This is another link into the idea of **similarity** as a lens that helps us understand **generalization**." ] } ], diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb index d91cbb8f0..d991cd1fc 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb @@ -1270,7 +1270,7 @@ "execution": {} }, "source": [ - "## Loading fMRI patterns from the NSD datset" + "## Loading fMRI patterns from the Natural Scenes Dataset" ] }, { @@ -1279,7 +1279,7 @@ "execution": {} }, "source": [ - "Let's now load the fMRI patterns from the NSD dataset for these 90 images.\n", + "Let's now load the fMRI patterns from NSD for these 90 images.\n", "We have pre-extracted the patterns, so we just need to load Numpy arrays from the `.npy` files." ] }, @@ -2369,7 +2369,7 @@ "source": [ "# The Big Picture\n", "\n", - "Generalization can arise across multiple dimensions, whether that be generalization of an experiment to a new set of subjects or whether a new set of stimuli generalize to the same subjects. More likely, we would want to know how much an experiment would generalize to novel subjects across novel stimuli. We can test these ideas statistically by using the bootstreap method in statistics. This notebook highlights some issues with naive approaches to statistics when assessing generalization in this way. We explored the 2-factor bootstrap method and used a toolbox that explicitly takes care of the calculation so that we don't overestimate the variance involved. It's important to be aware of factors of generalization and how multiple overlapping factors might interact." + "Generalization can arise across multiple dimensions, whether that be generalization of an experiment to a new set of subjects or whether a new set of stimuli generalize to the same subjects. More likely, we would want to know how much an experiment would generalize to novel subjects across novel stimuli. We can test these ideas statistically by using the bootstrap method in statistics. This notebook highlights some issues with naive approaches to statistics when assessing generalization in this way. We explored the 2-factor bootstrap method and used a toolbox that explicitly takes care of the calculation so that we don't overestimate the variance involved. It's important to be aware of factors of generalization and how multiple overlapping factors might interact." ] } ], diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb index 064782b50..8ab31206c 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb @@ -1296,7 +1296,7 @@ "source": [ "To obtain an unbiased estimate, we can split the data into independent sets and cross-validate the difference between patterns across the two sets (Allefeld and Haynes, 2014; Nili et al. 2014).\n", "\n", - "The cross-validated squared Euclidean distance–the so-called *crossclidian*–between two activity patterns $\\mathbf{b_i}$ and $\\mathbf{b_j}$ can be computed as: \n", + "The cross-validated squared Euclidean distance–the so-called *crossclidean*–between two activity patterns $\\mathbf{b_i}$ and $\\mathbf{b_j}$ can be computed as: \n", "\n", "$$d^2_{\\text{Euclidean, cross-validated}}=(\\mathbf{b_i} - \\mathbf{b_j})_\\text{train}(\\mathbf{b_i} - \\mathbf{b_j})_\\text{test}^T$$\n", "\n", diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb index cf185d05d..aa4f573de 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb @@ -2185,9 +2185,9 @@ "\n", "# Intro\n", "\n", - "Welcome to Tutorial 5 of Day 3 (W1D3) of the NeuroAI course. In this tutorial we are going to look at an exciting method that measures similarity from a slightly different perspective, a temporal one. The prior methods we have looked at were centeed around geometry and spatial representations, where we looked at metrics such as the Euclidean and Mahalanobis distance metrics. However, one thing we often want to study in neuroscience and in AI separately - is the temporal domain. Even more so in our own field of NeuroAI, we often deal with time series of neuronal / biological recordings. One thing you should already have a broad level of awareness of is that end structures can end up looking the same even though the paths taken to arrive at those end structures were very different.\n", + "Welcome to Tutorial 5 of Day 3 (W1D3) of the NeuroAI course. The prior methods we have looked at so far were centered around geometry and spatial representations, where we looked at metrics such as the Euclidean and Mahalanobis distance metrics. In this tutorial we are going to look at an exciting method that measures similarity from a slightly different perspective - a temporal one. This is very important in our field of NeuroAI as we often deal with time series of neuronal / biological recordings. One thing you should already be aware of is the fact that geometric plots of temporal data can end up looking the same even though the paths taken to arrive at those end structures are very different.\n", "\n", - "In NeuroAI, we're often confronted with systems that seem to have some sort of overlap and we want to study whether this implies there is a shared computation pairs up with the shared task (we looked at this in detail yesterday in our *Comparing Tasks* day). Today, we will begin by watching a short intro video by Mitchell Ostrow, who will describe his method to compare representations over temporal sequences (the method is called Dynamic Similarity Analysis). Then we are going to introduce three simple dynamical systems and we will explore them from the perspective of Dynamic Similarity Analysis and also describe the conceptual relationship to Representational Similarity Analysis. You will have a short coding exercise on the topic of temporal similarity analysis on three different types of trajectories. \n", + "In NeuroAI, we're often confronted with systems that seem to have some sort of overlap and we want to study whether this implies there is a shared computation pairs up with the shared task (we looked at this in detail yesterday in the day on *Comparing Tasks*). Today, we will watch a short intro video by Mitchell Ostrow, who will describe a method he devised to compare representations of temporal sequences (the method is called *Dynamic Similarity Analysis*). Then we are going to introduce three simple dynamical systems and we will explore them from the perspective of Dynamic Similarity Analysis and also describe the conceptual relationship to Representational Similarity Analysis. You will have a short coding exercise on the topic of temporal similarity analysis on three different types of trajectories. \n", "\n", "At the end of the tutorial, we will finally look at a further aspect of temporal sequences using RNNs. This is an adaptation of the ideas introduced in Tutorial 2 but now based around recurrent representations from RNNs. We hope you enjoy this tutorial today and that it gets you thinking not just what similarity values mean, but which ones are appropriate (here, from a spatial or temporal perspective). We aim to continually expand the tools necessary in the NeuroAI researcher's toolkit. Complementary tools, when applicable, can often tell a far richer story than just using a single method." ] @@ -2322,6 +2322,31 @@ "trajectory_walk = trajectory" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d4091b9", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the trajectory\n", + "fig, axes = plt.subplots(1,3, figsize=(10, 4))\n", + "\n", + "axes[0].plot(trajectory_circle[:, 0], trajectory_circle[:, 1])\n", + "axes[0].set_title(\"Circle\")\n", + "axes[0].set_xlabel(\"X\")\n", + "axes[0].set_ylabel(\"Y\")\n", + "axes[1].plot(trajectory_oval[:, 0], trajectory_oval[:, 1])\n", + "axes[1].set_title(\"Oval\")\n", + "axes[1].set_xlabel(\"X\")\n", + "axes[1].set_ylabel(\"Y\")\n", + "axes[2].plot(trajectory_walk[:, 0], trajectory_walk[:, 1])\n", + "axes[2].set_title(\"2D Random Walk\")\n", + "axes[2].set_xlabel(\"X\")\n", + "axes[2].set_ylabel(\"Y\")\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "id": "113a0dee", @@ -2329,9 +2354,9 @@ "execution": {} }, "source": [ - "Can you see how the spatial / geometric similarity of `R-Walk` and `Oval` are more similar, but the oscillations during the temporal sequence are shared between `Circle` and `Oval`? Let's run Dynamic Similarity Analysis on these temporal sequences and see what scores are returned.\n", + "Can you see how the spatial / geometric similarity of `Random Walk` and `Oval` are quite similar? Can you also observe that the `Circle` and `Oval` trajectories contain similar oscillatory patterns? What we mean by similarity can be viewed through different lenses: a spatial/geometric shape-based one, and another temporal one that considers how the sequences **pattern together**. Let's run Dynamic Similarity Analysis on these temporal sequences and explore the similarity values to further get a grasp on this difference.\n", "\n", - "We calcularted `trajectory_oval` and `trajectory_circle` above, so let's plug these into the `DSA` function imported earlier (in the helper function cell) and see what the similarity score is." + "We calculated `trajectory_oval` and `trajectory_circle` above, so let's plug these into the `DSA` function imported earlier (in the helper function cell) and see what the similarity score is." ] }, { From 3b2808bf5ccd5bccc577fc481acfecf13faf4fb8 Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 11:35:14 +0100 Subject: [PATCH 05/32] W1D5 changes --- tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb | 2 +- tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb | 2 +- tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb | 10 +++++----- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb b/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb index ac7e0ff08..84746351a 100644 --- a/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb +++ b/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb @@ -3228,7 +3228,7 @@ "source": [ "# The Big Picture\n", "\n", - "The main message we would like you to take away from this tutorial is that sparsity has numerous advantageous properties for representing computation in the brain and in AI models. We know the brain likely uses this principle extensively. The mechanisms to measure and induce sparsity invcomputational models of neuroscience and AI are important and we hope you have gained an idea of how you might think about applications of sparsity in the future.\n", + "The main message we would like you to take away from this tutorial is that sparsity has numerous advantageous properties for representing computation in the brain and in AI models. We know the brain likely uses this principle extensively. The mechanisms to measure and induce sparsity in computational models of neuroscience and AI are important and we hope you have gained an idea of how you might think about applications of sparsity in the future.\n", "\n", "In the next tutorial, we will look at another essential operation to be realized in brains & machines - normalization. If you have time at the end of this day's tutorials, we have also included some further bonus material that covers the interesting application of spatial sparsity. If you're running low on time, please concentrate on the other tutorials and come back to the bonus material at a more convenient time." ] diff --git a/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb b/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb index c925796b0..195569c39 100644 --- a/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb +++ b/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb @@ -2028,7 +2028,7 @@ "\n", "#################################################\n", "## TODO: Implement the normalization example equation ##\n", - "# Fill remove the following line of code one you have completed the exercise:\n", + "# Fill out and remove the following line of code one you have completed the exercise:\n", "raise NotImplementedError(\"Student exercise: choose your parameters values.\")\n", "#################################################\n", "\n", diff --git a/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb b/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb index 7cdd041c6..5ac3b86cf 100644 --- a/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb +++ b/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb @@ -42,7 +42,7 @@ "\n", "By the end of this tutorial, we aim to:\n", "\n", - "1. Learn how the brain and AI systems implemention attention\n", + "1. Learn how the brain and AI systems implement attention\n", "\n", "2. Understand how multiplicative interactions allow flexible gating of information\n", "\n", @@ -212,7 +212,7 @@ " plt.subplot(1, 2, 1)\n", " plt.plot(t_loss, label=\"Training loss\", color=\"red\")\n", " if v_loss is not None:\n", - " # plt.plot(v_loss, label=\"Valididation loss\", color=\"blue\")\n", + " # plt.plot(v_loss, label=\"Validation loss\", color=\"blue\")\n", " plt.scatter(len(t_loss)-1, v_loss, label=\"Validation loss\", color=\"blue\", marker=\"*\")\n", " # plt.text(len(t_loss)-1, v_loss, f\"{v_loss:.3f}\", va=\"bottom\", ha=\"right\")\n", " plt.yscale(\"log\")\n", @@ -2076,7 +2076,7 @@ "B_t_mlp = 1000 # batch size for training (number of training samples)\n", "n_epochs = 100 # number of epochs\n", "s_sparse = sparse_dense[0] # dense\n", - "hidden_layers = [512] # the number of hidden units in }each layer [H1, H2, ...]\n", + "hidden_layers = [512] # the number of hidden units in each layer [H1, H2, ...]\n", "kind = \"MLP\"\n", "\n", "mlp_model = BinaryMLP(context_length, hidden_layers, 1) # MLP model\n", @@ -2150,7 +2150,7 @@ "embed_dim = 2 # embedding dimension\n", "kind = \"SAT\"\n", "\n", - "sat_model_s = SelfAttention(context_length, embed_dim) # selt-attention transformer\n", + "sat_model_s = SelfAttention(context_length, embed_dim) # self-attention transformer\n", "data_gen = s_Sparse_AND(context_length, s_sparse)\n", "results_sat_s = make_train(sat_model_s, data_gen, B_t_sat, B_valid, n_epochs, DEVICE, kind, verbose=True, etta=1e-2)" ] @@ -2180,7 +2180,7 @@ "embed_dim = 2 # embedding dimension\n", "kind = \"SAT\"\n", "\n", - "sat_model_d = SelfAttention(context_length, embed_dim) # selt-attention transformer\n", + "sat_model_d = SelfAttention(context_length, embed_dim) # self-attention transformer\n", "data_gen = s_Sparse_AND(context_length, s_sparse)\n", "results_sat_d = make_train(sat_model_d, data_gen, B_t_sat, B_valid, n_epochs, DEVICE, kind, verbose=True, etta=1e-2)" ] From 6ca069f083696fa8683dba4605b46e9992a58ccd Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 11:54:13 +0100 Subject: [PATCH 06/32] W2D1 changes --- tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb b/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb index 05d3b1286..af39907cc 100644 --- a/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb +++ b/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb @@ -154,7 +154,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -203,7 +203,7 @@ " Inputs:\n", " - Es_train (np.ndarray): loss values.\n", " - X_test (np.ndarray): test input data.\n", - " - y_test (np.ndarray): test outpu data.\n", + " - y_test (np.ndarray): test output data.\n", " \"\"\"\n", " with plt.xkcd():\n", " fig, axes = plt.subplots(1,2,figsize=(10,5))\n", @@ -363,7 +363,7 @@ "\n", "# Section 1: Introduction\n", "\n", - "In this section we will write some Python functions to help build some neural networks that will allow us to effectively examine the expressiity of shallow versus deep networks. We will specifically look at this issue through the lens of the universal approximation theorem and ask ourselves what deeper neural networks give us in terms of the ability of those models to capture a wide range of functions. As you will recall from today's introduction video, the idea of each layer being able to fold activations via an activation function increases the ability to model nonlinear functions much more effectively. After going through this tutorial, this idea will hopefully be much clearer.\n", + "In this section we will write some Python functions to help build some neural networks that will allow us to effectively examine the expressivity of shallow versus deep networks. We will specifically look at this issue through the lens of the universal approximation theorem and ask ourselves what deeper neural networks give us in terms of the ability of those models to capture a wide range of functions. As you will recall from today's introduction video, the idea of each layer being able to fold activations via an activation function increases the ability to model nonlinear functions much more effectively. After going through this tutorial, this idea will hopefully be much clearer.\n", "\n", "By **shallow network**, we mean one with a very small number of layers (e.g. one). A shallow networks can be **wide** if it has many, many neurons in this layer, or it can be smaller, having only a limited number of neurons. In contrast, by **deep networks**, we refer to the number of layers in the network. It's important to keep in mind that the term **wide** in the terminology we will use specifically refers to *the number of neurons in a layer, not the number of layers in a network*. If we take a single layer in a shallow or a deep network, we can describe it as being **wide** if it has a very large number of neurons. " ] @@ -548,7 +548,7 @@ "\n", "def make_MLP(n_in, W, D, nonlin = 'tanh'):\n", " \"\"\"\n", - " Create `nn.Sequnetial()` fully-connected model in pytorch with the given parameters.\n", + " Create `nn.Sequential()` fully-connected model in pytorch with the given parameters.\n", "\n", " Inputs:\n", " - n_in (int): input dimension.\n", @@ -609,7 +609,7 @@ " Inputs:\n", " - n_in (int): input dimension.\n", " - W (int): width of the network.\n", - " - D (int): depth if the network.\n", + " - D (int): depth of the network.\n", "\n", " Outputs:\n", " - num_params (int): number of parameters in the network.\n", @@ -644,7 +644,7 @@ " Inputs:\n", " - n_in (int): input dimension.\n", " - W (int): width of the network.\n", - " - D (int): depth if the network.\n", + " - D (int): depth of the network.\n", "\n", " Outputs:\n", " - num_params (int): number of parameters in the network.\n", From 21757ae8cea375de8cba6a0e09911e446019a4f7 Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 11:54:21 +0100 Subject: [PATCH 07/32] W2D3 final --- tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb b/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb index c23d1e5bc..ef850bd98 100644 --- a/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb +++ b/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb @@ -631,7 +631,7 @@ "---\n", "# Section 1: Weight Perturbation\n", "\n", - "In this section, we will start exploring more bioligcally plausible learning algorithms that are known to exhibit increased variance, specifically the *weight perturbation* algorithm." + "In this section, we will start exploring more biologically plausible learning algorithms that are known to exhibit increased variance, specifically the *weight perturbation* algorithm." ] }, { @@ -1796,7 +1796,7 @@ "\n", "*Estimated timing to here from start of tutorial: 1 hour 20 minutes*\n", "\n", - "This section presents the last method for this day, which is a method that leans towards exhibiting more biased solutions than ones that exhibit higher-variance solutions. Specifically, the metho we are going to look at today is known as the Kolen-Pollack method. While in the previous section we looked at Feedback Alignment, in that case, we hinted at the fact that this works well for simple tasks. However, feedback alignment, as will be shown below, does not do very well in tasks of the level of complexity we are typically interested in. The Kolen-Pollack method attempts to fix some of the problems of Feedback Alignment in order to be better at more complex and interesting tasks." + "This section presents the last method for this day, which is a method that leans towards exhibiting more biased solutions than ones that exhibit higher-variance solutions. Specifically, the method we are going to look at today is known as the Kolen-Pollack method. While in the previous section we looked at Feedback Alignment, in that case, we hinted at the fact that this works well for simple tasks. However, feedback alignment, as will be shown below, does not do very well in tasks of the level of complexity we are typically interested in. The Kolen-Pollack method attempts to fix some of the problems of Feedback Alignment in order to be better at more complex and interesting tasks." ] }, { @@ -2213,7 +2213,7 @@ "\n", "While the summary above recaps the main takeaway points of today's tutorial, let's also stop and think a bit bigger. Let's think back to the opening section of today's tutorial about biological plausibility and what it means for both the future of neuroscience and AI. As we have seen today, learning in brains is restricted by the directional nature of information transfer and biologically plausible learning algorithms are those algorithms that better mirror these properties. This is where we run into a dilemma: on the one hand in standard AI training, backpropagation is so successful because we get exactly the correct set of error signals to make updates to our weights. This has worked well in AI, but this method in the current set up might lead to a wall that we cannot break and extend into significant further advances in AI. This is also an issue working in neuroscience, where AI models are often used as *in silico* representations to model biological processes or as candidate representational spaces to model different stimuli. \n", "\n", - "The main idea we want you to take away from today is to be aware of alternate approaches that better mirror computational constraints from a system (the brain) that we know in many ways is better than frontier / state of the art AI models. The exact techniques are only candidates, but there is a wide belief that the NeuroAI community might be in an excellent position to study and propose learning algortihms that are not only biologically plausible, but also show promise as future widely-adopted learning algorithms in large-scale deep learning networks.\n", + "The main idea we want you to take away from today is to be aware of alternate approaches that better mirror computational constraints from a system (the brain) that we know in many ways is better than frontier / state of the art AI models. The exact techniques are only candidates, but there is a wide belief that the NeuroAI community might be in an excellent position to study and propose learning algorithms that are not only biologically plausible, but also show promise as future widely-adopted learning algorithms in large-scale deep learning networks.\n", "\n", "We hope this idea sticks around in your mind and that you have found today's tutorial insightful.\n", "\n", From a95b3f16e7888add96cf5a791f238b1eb17e4b26 Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 13:34:16 +0100 Subject: [PATCH 08/32] W2D4 changes --- tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb | 8 ++++---- tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb | 8 ++++---- tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb | 6 +++--- tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb | 6 +++--- 4 files changed, 14 insertions(+), 14 deletions(-) diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb index c38f39d37..9859acb2a 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb @@ -481,7 +481,7 @@ "\n", "###################################################################\n", "## Fill out the following then remove\n", - "raise NotImplementedError(\"Student exercise: need to normalized days and to fit model with it\")\n", + "raise NotImplementedError(\"Student exercise: need to normalize days and to fit model with it\")\n", "###################################################################\n", "\n", "#apply normalization for days\n", @@ -490,7 +490,7 @@ "summer_days_test_norm = (summer_days_test - ...) / ...\n", "\n", "#define MLP\n", - "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is small amount of data\n", + "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is a small amount of data\n", "\n", "#train MLP\n", "model.fit(..., ...)\n", @@ -522,7 +522,7 @@ "summer_days_test_norm = (summer_days_test - summer_days_mean) / summer_days_std\n", "\n", "#define MLP\n", - "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is small amount of data\n", + "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is a small amount of data\n", "\n", "#train MLP\n", "model.fit(summer_days_train_norm, summer_prices_train)\n", @@ -950,7 +950,7 @@ "\n", "Distribution shifts are a huge issue in modern ML systems. Awareness of the fundamental idea behind how these shifts can happen is increasingly important, the more that these systems take on roles that impact systems that we interact with in our daily lives. During COVID-19, product replenishment systems failed spectacularly because there was an underlying shift (panic buying of certain items) that the model did not expect and this caused a huge problem for systems that relied on statistical predictions in the company pipeline.\n", "\n", - "In NeuroAI, the distribution shifts can happen in numerous places. For example, training a model on sets of neurons that belong to different brain areas or perhaps the same distribution of neurons that differ due to a confounding third factor, that renders the training and test distribution of features to be different. Awareness of potential distribution shifts is incredibly important and should be something systems are continuosly monitoring. NeuroAI currently lags behind in its adoption of evaluations that monitor these kinds of issues. Our goal is to bring this attention more to the forefront so that in your careers as NeuroAI practioners, you are aware of the necessary factors that can affect the models you build.\n", + "In NeuroAI, the distribution shifts can happen in numerous places. For example, training a model on sets of neurons that belong to different brain areas or perhaps the same distribution of neurons that differ due to a confounding third factor, that renders the training and test distribution of features to be different. Awareness of potential distribution shifts is incredibly important and should be something systems are continously monitoring. NeuroAI currently lags behind in its adoption of evaluations that monitor these kinds of issues. Our goal is to bring this attention more to the forefront so that in your careers as NeuroAI practitioners, you are aware of the necessary factors that can affect the models you build.\n", "\n", "In the next tutorials, we are going to address the question of generalization—what are the techniques and methods to deal with poor generalization performance due to distribution shifts." ] diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb index 78d590e83..14074bf52 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb @@ -43,7 +43,7 @@ "\n", "*Estimated timing of tutorial: 25 minutes*\n", "\n", - "In this tutorial, we wil discover how further training on new data or tasks causes forgetting of past tasks. This is like the idea of learning a new idea by replacing an old one. This is a huge issue with the current AI models and deep neural networks and a very active area of research in the ML community. We are going to explore the problem in more detail and investigate some further issues connected to this idea, for example, how different learning schedules impact performance." + "In this tutorial, we will discover how further training on new data or tasks causes forgetting of past tasks. This is like the idea of learning a new idea by replacing an old one. This is a huge issue with the current AI models and deep neural networks and a very active area of research in the ML community. We are going to explore the problem in more detail and investigate some further issues connected to this idea, for example, how different learning schedules impact performance." ] }, { @@ -194,7 +194,7 @@ " - autumn_r_squared (list): List containing the R-squared values for the autumn season at each epoch.\n", " \"\"\"\n", "\n", - " print(f\"Summmer final R-squared value is: {summer_r_squared[-1]:.02f}\")\n", + " print(f\"Summer final R-squared value is: {summer_r_squared[-1]:.02f}\")\n", " print(f\"Autumn final R-squared value is: {autumn_r_squared[-1]:.02f}\")\n", "\n", "\n", @@ -475,7 +475,7 @@ "execution": {} }, "source": [ - "Notice how disruptive the change is for R-squared values — even one iteration is enough to drastically alter the performance. The model has learned to perform perfectly on the autumn data, while it completely messes up predictions for the summer days. Indeed, the model forgot the relationships for the old data and lost its predictive power while training on the new dataset. In the next section of the tutorial, we are going to explore a different approach—what if, instead of training sequentially, we train the model on both datasets together?" + "Notice how disruptive the change is for R-squared values — even one iteration is enough to drastically alter the performance. The model has learned to perform perfectly on the autumn data, while it completely disrupts predictions for the summer days. Indeed, the model forgot the relationships for the old data and lost its predictive power while training on the new dataset. In the next section of the tutorial, we are going to explore a different approach—what if, instead of training sequentially, we train the model on both datasets together?" ] }, { @@ -874,7 +874,7 @@ "source": [ "# The Big Picture\n", "\n", - "What causes catastrophic forgetting? If we train tasks continually (one after the other) and not in a joint fashion, it implies the overwriting of old knowledge (information) with new knowledge (information). That doesn't seem to happen in biological systems, so is there a lesson we can take from psychology and neuroscience to better handle catastrophic forgetting? Information seems to be distributed across all weights for this ovwerwriting to happen. Large LLM models have developed one solution, the so-called Mixture-of-Experts Model. This is where a routing mechanism decides what sections of a neural network become active for each tasks. Is that a viable solution? These models are gigantic and extremely computationally expensive. We think there is scope to be more brain-like without requiring such vast computational giants.\n", + "What causes catastrophic forgetting? If we train tasks continually (one after the other) and not in a joint fashion, it implies the overwriting of old knowledge (information) with new knowledge (information). That doesn't seem to happen in biological systems, so is there a lesson we can take from psychology and neuroscience to better handle catastrophic forgetting? Information seems to be distributed across all weights for this overwriting to happen. Large LLM models have developed one solution, the so-called Mixture-of-Experts Model. This is where a routing mechanism decides what sections of a neural network become active for each tasks. Is that a viable solution? These models are gigantic and extremely computationally expensive. We think there is scope to be more brain-like without requiring such vast computational giants.\n", "\n", "If you're interested in learning more, the topics we covered today are also often referred to as the **Stability-Plasticity Dilemma**. A search for that term will certainly bring you to many recent advances in exploring this idea. \n", "\n", diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb index 490c9aaa0..19f09e21f 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb @@ -160,7 +160,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -444,7 +444,7 @@ "\n", " def __len__(self):\n", " \"\"\"Calculate the length of the dataset. It is obligatory for PyTorch to know in advance how many samples to expect (before training),\n", - " thus we enforced to icnlude number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", + " thus we enforced to include number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", "\n", " return self.num_epochs * self.num_tasks\n", "\n", @@ -758,7 +758,7 @@ "\n", " def __len__(self):\n", " \"\"\"Calculate the length of the dataset. It is obligatory for PyTorch to know in advance how many samples to expect (before training),\n", - " thus we enforced to icnlude number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", + " thus we enforced to include number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", "\n", " return self.num_epochs * self.num_tasks\n", "\n", diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb index c36c131f1..829a3a559 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb @@ -159,7 +159,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -724,7 +724,7 @@ " return self.state\n", "\n", " def step(self, action):\n", - " \"\"\"Evaluate agent's perfromance, return reward and next observation.\"\"\"\n", + " \"\"\"Evaluate agent's performance, return reward and next observation.\"\"\"\n", " if self.state[action] == self.rewarded_digit:\n", " feedback = self.reward\n", " else:\n", @@ -1170,7 +1170,7 @@ " - num_tasks (int, default = 10): number of tasks to evaluate agent on.\n", " - num_gradient_steps (int, default = 25): number of gradient steps to perform.\n", " - num_trials (int, default = 6): number of times the agent is exposed to the environment per gradient step to be trained .\n", - " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happend during this phase).\n", + " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happened during this phase).\n", "\n", " Outputs:\n", " - score (int): total score.\n", From 33275d18b26f372e98c010526466abea8ddc6a1b Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 13:34:24 +0100 Subject: [PATCH 09/32] W2D4 final --- tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb index 2d927f020..6f0578be4 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb @@ -161,7 +161,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -662,7 +662,7 @@ " return self.state\n", "\n", " def step(self, action):\n", - " \"\"\"Evaluate agent's perfromance, return reward, max reward (for tracking agent's performance) and next observation.\"\"\"\n", + " \"\"\"Evaluate agent's performance, return reward, max reward (for tracking agent's performance) and next observation.\"\"\"\n", " feedback = color_names_rewards[self.color_state[action]]\n", " max_feedback = np.max([color_names_rewards[self.color_state[action]], color_names_rewards[self.color_state[1 - action]]])\n", " self.update_state()\n", @@ -862,7 +862,7 @@ " log_probs.append(log_prob)\n", " entropy_term += entropy\n", "\n", - " #calculataing loss\n", + " #calculating loss\n", " Qval = 0\n", " Qvals = torch.zeros(len(rewards))\n", " for t in reversed(range(len(rewards))):\n", @@ -890,7 +890,7 @@ " - env (ChangingEnv): environment.\n", " - agent (ActorCritic): particular instance of Actor Critic agent to train.\n", " - mode (int, default = 1): mode of the environment.\n", - " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happend during this phase).\n", + " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happened during this phase).\n", "\n", " Outputs:\n", " - scores (list): rewards over all trials of evaluation.\n", @@ -1185,7 +1185,7 @@ "outputs": [], "source": [ "# @title Submit your feedback\n", - "content_review(f\"{feedback_prefix}_a2c_agent_in_changing_enviornment\")" + "content_review(f\"{feedback_prefix}_a2c_agent_in_changing_environment\")" ] }, { From 779297bb7a27bff392fe986d2c7e72a1a523697f Mon Sep 17 00:00:00 2001 From: Alxmrphi Date: Tue, 26 Aug 2025 13:34:34 +0100 Subject: [PATCH 10/32] W2D5 small tweak --- tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb b/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb index bf0d9f8fe..98f509406 100644 --- a/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb +++ b/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb @@ -209,7 +209,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, From 152ef74e9603576fec5058c56ec45615e07cca03 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Wed, 27 Aug 2025 09:35:27 -0400 Subject: [PATCH 11/32] Update requirements.txt --- requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index c4704a8b9..fbd768b10 100644 --- a/requirements.txt +++ b/requirements.txt @@ -26,10 +26,10 @@ torchlens rsatoolbox==0.1.5 vibecheck seaborn -plotly +plotly==6.0.1 git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl git+https://github.com/neuromatch/MotorNet#egg=motornet git+https://github.com/ctn-waterloo/sspspace@neuromatch#egg=sspspace -git+https://github.com/mitchellostrow/DSA#egg=DSA \ No newline at end of file +git+https://github.com/mitchellostrow/DSA#egg=DSA From 0dacefaeb37aa40bd740b6d5300ee3d0aa37961a Mon Sep 17 00:00:00 2001 From: Zoltan Date: Fri, 29 Aug 2025 01:00:16 -0400 Subject: [PATCH 12/32] Update requirements.txt --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index fbd768b10..b94f3cf81 100644 --- a/requirements.txt +++ b/requirements.txt @@ -26,7 +26,7 @@ torchlens rsatoolbox==0.1.5 vibecheck seaborn -plotly==6.0.1 +plotly==5.24.1 git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From d7b57661d9639f071d4e992a32943c113aba48a6 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Fri, 29 Aug 2025 09:03:33 -0400 Subject: [PATCH 13/32] Update requirements.txt --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index b94f3cf81..4d852f961 100644 --- a/requirements.txt +++ b/requirements.txt @@ -26,7 +26,7 @@ torchlens rsatoolbox==0.1.5 vibecheck seaborn -plotly==5.24.1 +plotly==5.19.0 git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From a741d6bf2253c8636f0c898da073df4ba8748fe9 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 1 Sep 2025 16:54:32 -0400 Subject: [PATCH 14/32] Update requirements.txt --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 4d852f961..78ebd3363 100644 --- a/requirements.txt +++ b/requirements.txt @@ -26,7 +26,7 @@ torchlens rsatoolbox==0.1.5 vibecheck seaborn -plotly==5.19.0 +plotly==6.2.0 git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From f978d01105917e9309e964da2d0cd1feef9b4679 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 1 Sep 2025 17:01:24 -0400 Subject: [PATCH 15/32] Update notebook-pr.yaml --- .github/workflows/notebook-pr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index 95418dc4d..6dc82d948 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -31,7 +31,7 @@ jobs: if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: 3.10 - name: Install CI tools if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" From 1e0d3370e4eea552883ca609d861941c02159e4b Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 1 Sep 2025 17:05:10 -0400 Subject: [PATCH 16/32] Update notebook-pr.yaml --- .github/workflows/notebook-pr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index 6dc82d948..79eed6499 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -31,7 +31,7 @@ jobs: if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" uses: actions/setup-python@v4 with: - python-version: 3.10 + python-version: '3.10' - name: Install CI tools if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" From 253c879dc3365a6d97ce008e6a4e21cf3d76e88f Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 1 Sep 2025 17:11:19 -0400 Subject: [PATCH 17/32] Update requirements.txt --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 78ebd3363..682ba3655 100644 --- a/requirements.txt +++ b/requirements.txt @@ -26,7 +26,7 @@ torchlens rsatoolbox==0.1.5 vibecheck seaborn -plotly==6.2.0 +plotly git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From 3f9f1139a846b25661ad1ff73f2b022a6df90335 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Sun, 18 Jan 2026 16:35:16 -0500 Subject: [PATCH 18/32] Update requirements.txt --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 682ba3655..f984a7ab0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -32,4 +32,4 @@ git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl git+https://github.com/neuromatch/MotorNet#egg=motornet git+https://github.com/ctn-waterloo/sspspace@neuromatch#egg=sspspace -git+https://github.com/mitchellostrow/DSA#egg=DSA +git+https://github.com/mitchellostrow/DSA#egg=dsa-metric From 1698736fff38cc9bf6aa91429676a3705d2130a6 Mon Sep 17 00:00:00 2001 From: Konstantine Tsafatinos Date: Sun, 18 Jan 2026 16:33:04 -0500 Subject: [PATCH 19/32] Refactor workflow pipelines --- .github/actions/setup-ci-tools/action.yml | 58 ++++++++++++++ .github/actions/setup-python-env/action.yml | 32 ++++++++ .../actions/setup-rendering-deps/action.yml | 55 ++++++++++++++ .github/workflows/notebook-pr.yaml | 76 +++++++++---------- .github/workflows/publish-book.yml | 63 ++++++--------- 5 files changed, 203 insertions(+), 81 deletions(-) create mode 100644 .github/actions/setup-ci-tools/action.yml create mode 100644 .github/actions/setup-python-env/action.yml create mode 100644 .github/actions/setup-rendering-deps/action.yml diff --git a/.github/actions/setup-ci-tools/action.yml b/.github/actions/setup-ci-tools/action.yml new file mode 100644 index 000000000..7c7a3387a --- /dev/null +++ b/.github/actions/setup-ci-tools/action.yml @@ -0,0 +1,58 @@ +name: 'Setup nmaci CI Tools' +description: 'Download and install Neuromatch CI tools' + +inputs: + branch: + description: 'nmaci branch to use' + required: false + default: 'main' + commit-message: + description: 'Commit message to parse for branch override' + required: false + default: '' + +outputs: + nmaci-branch: + description: 'nmaci branch used' + value: ${{ steps.detect-branch.outputs.branch }} + +runs: + using: 'composite' + steps: + - name: Detect nmaci branch + id: detect-branch + shell: bash + run: | + BRANCH="${{ inputs.branch }}" + if [ -n "${{ inputs.commit-message }}" ]; then + OVERRIDE=$(python3 -c "import os, re; m = re.search(r'nmaci:([\w-]+)', '${{ inputs.commit-message }}'); print(m.group(1) if m else '')") + if [ -n "$OVERRIDE" ]; then + BRANCH="$OVERRIDE" + fi + fi + echo "branch=$BRANCH" >> $GITHUB_OUTPUT + echo "Using nmaci branch: $BRANCH" + + - name: Cache nmaci tools + id: cache-nmaci + uses: actions/cache@v3 + with: + path: ci/ + key: nmaci-${{ steps.detect-branch.outputs.branch }}-${{ hashFiles('.github/workflows/*.yml', '.github/workflows/*.yaml') }} + restore-keys: nmaci-${{ steps.detect-branch.outputs.branch }}- + + - name: Download nmaci tools + if: steps.cache-nmaci.outputs.cache-hit != 'true' + shell: bash + run: | + BRANCH=${{ steps.detect-branch.outputs.branch }} + wget -q https://github.com/neuromatch/nmaci/archive/refs/heads/$BRANCH.tar.gz + tar -xzf $BRANCH.tar.gz + pip install --upgrade pip + pip install -r nmaci-$BRANCH/requirements.txt + mv nmaci-$BRANCH/scripts/ ci/ + rm -r nmaci-$BRANCH $BRANCH.tar.gz + + - name: Ignore ci directory + shell: bash + run: echo "ci/" >> .gitignore diff --git a/.github/actions/setup-python-env/action.yml b/.github/actions/setup-python-env/action.yml new file mode 100644 index 000000000..6771ef938 --- /dev/null +++ b/.github/actions/setup-python-env/action.yml @@ -0,0 +1,32 @@ +name: 'Setup Python Environment' +description: 'Set up Python with caching and install base dependencies' + +inputs: + python-version: + description: 'Python version to install' + required: false + default: '3.10' + +outputs: + cache-hit: + description: 'Whether pip cache was hit' + value: ${{ steps.setup-python.outputs.cache-hit }} + +runs: + using: 'composite' + steps: + - name: Set up Python + id: setup-python + uses: actions/setup-python@v4 + with: + python-version: ${{ inputs.python-version }} + cache: 'pip' + cache-dependency-path: 'requirements.txt' + + - name: Upgrade pip + shell: bash + run: pip install --upgrade pip wheel + + - name: Install requirements + shell: bash + run: pip install -r requirements.txt diff --git a/.github/actions/setup-rendering-deps/action.yml b/.github/actions/setup-rendering-deps/action.yml new file mode 100644 index 000000000..0c92f0291 --- /dev/null +++ b/.github/actions/setup-rendering-deps/action.yml @@ -0,0 +1,55 @@ +name: 'Setup Rendering Dependencies' +description: 'Install fonts, backend libraries, and graphviz for notebook rendering' + +inputs: + skip-fonts: + description: 'Skip XKCD font installation' + required: false + default: 'false' + skip-backend: + description: 'Skip backend libraries' + required: false + default: 'false' + skip-graphviz: + description: 'Skip graphviz installation' + required: false + default: 'false' + +runs: + using: 'composite' + steps: + - name: Cache APT packages + id: cache-apt + uses: actions/cache@v3 + with: + path: | + /var/cache/apt/archives + /usr/share/fonts/truetype/humor-sans + key: apt-packages-${{ runner.os }}-fonts-backend-graphviz-v2 + restore-keys: apt-packages-${{ runner.os }}- + + - name: Install XKCD fonts + if: ${{ inputs.skip-fonts != 'true' }} + shell: bash + run: | + if [ ! -f /usr/share/fonts/truetype/humor-sans/Humor-Sans.ttf ]; then + sudo apt-get update -yq + wget -q http://archive.ubuntu.com/ubuntu/pool/universe/f/fonts-humor-sans/fonts-humor-sans_1.0-4_all.deb + sudo dpkg -i --force-all fonts-humor-sans_1.0-4_all.deb <<< 'yes' 2>/dev/null || true + sudo apt install -fy + rm -f fonts-humor-sans_1.0-4_all.deb $HOME/.matplotlib/fontList.cache + else + echo "XKCD fonts already cached" + fi + + - name: Install backend libraries + if: ${{ inputs.skip-backend != 'true' }} + shell: bash + run: | + sudo apt-get update -yq || true + sudo apt-get install -y libglew-dev libglfw3 ffmpeg + echo "MUJOCO_GL=egl" >> $GITHUB_ENV + + - name: Install Graphviz + if: ${{ inputs.skip-graphviz != 'true' }} + uses: tlylt/install-graphviz@v1 diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index 79eed6499..f0dacf394 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -27,53 +27,25 @@ jobs: readonly local msg=$(git log -1 --pretty=format:"%s") echo "COMMIT_MESSAGE=$msg" >> $GITHUB_ENV - - name: Set up Python + - name: Setup Python environment if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" - uses: actions/setup-python@v4 - with: - python-version: '3.10' + uses: ./.github/actions/setup-python-env - - name: Install CI tools - if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" - run: | - BRANCH=`python -c 'import os, re; m = re.search(r"nmaci:([\w-]+)", os.environ["COMMIT_MESSAGE"]); print("main" if m is None else m.group(1))'` - # NOTE: might enventually change this back if we integrate changes - wget https://github.com/neuromatch/nmaci/archive/refs/heads/$BRANCH.tar.gz - tar -xzf $BRANCH.tar.gz - pip install --upgrade pip - pip install -r nmaci-$BRANCH/requirements.txt - mv nmaci-$BRANCH/scripts/ ci/ - rm -r nmaci-$BRANCH - echo ci/ >> .gitignore - - - name: Install dependencies + - name: Install additional dependencies if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" run: | - python -m pip install --upgrade pip wheel - pip install -r requirements.txt - pip install jupyter_client==7.3.5 # downgrade jupyter-client to fix hangs - pip install jinja2==3.1.2 # to fix pandas dep + pip install jupyter_client==7.3.5 + pip install jinja2==3.1.2 - - name: Install XKCD fonts + - name: Setup CI tools if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" - run: | - sudo apt-get update -yq - wget http://archive.ubuntu.com/ubuntu/pool/universe/f/fonts-humor-sans/fonts-humor-sans_1.0-4_all.deb - sudo dpkg -i --force-all fonts-humor-sans_1.0-4_all.deb <<< 'yes' - sudo apt install -fy - rm -f $HOME/.matplotlib/fontList.cache + uses: ./.github/actions/setup-ci-tools + with: + commit-message: ${{ env.COMMIT_MESSAGE }} - - name: Install backend libs + - name: Setup rendering dependencies if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" - run: | - # required for macrocircuits project - sudo apt-get install -y libglew-dev - sudo apt-get install -y libglfw3 - sudo apt install -y ffmpeg - echo "MUJOCO_GL=egl" >> $GITHUB_ENV - - - name: Install Graphviz - uses: tlylt/install-graphviz@v1 + uses: ./.github/actions/setup-rendering-deps - name: Get changed files if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" @@ -86,8 +58,20 @@ jobs: echo "$file was changed." done - - name: Process notebooks + - name: Check for notebook changes + id: notebook-check if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" + run: | + CHANGED="${{ steps.changed-files.outputs.all_changed_files }}" + if [[ ! "$CHANGED" =~ \.ipynb ]]; then + echo "has_notebooks=false" >> $GITHUB_OUTPUT + echo "No notebooks changed, skipping processing" + else + echo "has_notebooks=true" >> $GITHUB_OUTPUT + fi + + - name: Process notebooks + if: "!contains(env.COMMIT_MESSAGE, 'skip ci') && steps.notebook-check.outputs.has_notebooks == 'true'" id: process_notebooks run: | branch=${{ github.event.pull_request.head.ref }} @@ -109,8 +93,18 @@ jobs: # with: # path: comment.txt - - name: Update READMEs + - name: Check if materials.yml changed + id: materials-check if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" + run: | + if [[ "${{ steps.changed-files.outputs.all_changed_files }}" =~ materials\.yml ]]; then + echo "materials_changed=true" >> $GITHUB_OUTPUT + else + echo "materials_changed=false" >> $GITHUB_OUTPUT + fi + + - name: Update READMEs + if: "!contains(env.COMMIT_MESSAGE, 'skip ci') && steps.materials-check.outputs.materials_changed == 'true'" run: python ci/generate_tutorial_readmes.py - name: Remove unreferenced derivatives diff --git a/.github/workflows/publish-book.yml b/.github/workflows/publish-book.yml index 1feb55887..28aa98c1a 100644 --- a/.github/workflows/publish-book.yml +++ b/.github/workflows/publish-book.yml @@ -29,50 +29,20 @@ jobs: readonly local msg=$(git log -1 --pretty=format:"%s") echo "COMMIT_MESSAGE=$msg" >> $GITHUB_ENV - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.9 + - name: Setup Python environment + uses: ./.github/actions/setup-python-env - - name: Install CI tools - run: | - BRANCH=`python -c 'import os, re; m = re.search(r"nmaci:([\w-]+)", os.environ["COMMIT_MESSAGE"]); print("main" if m is None else m.group(1))'` - # NOTE: might enventually change this back if we integrate changes - wget https://github.com/$ORG/nmaci/archive/refs/heads/$BRANCH.tar.gz - tar -xzf $BRANCH.tar.gz - pip install --upgrade pip - pip install -r nmaci-$BRANCH/requirements.txt - mv nmaci-$BRANCH/scripts/ ci/ - rm -r nmaci-$BRANCH - rm -r $BRANCH.tar.gz - echo ci/ >> .gitignore + - name: Install Jupyter Book + run: pip install jupyter-book==0.14.0 ghp-import - - name: Install dependencies - run: | - pip install -r requirements.txt - pip install jupyter-book==0.14.0 ghp-import - # pip install jupyter_client==7.3.5 # downgrade jupyter-client to fix hangs + - name: Setup CI tools + uses: ./.github/actions/setup-ci-tools + with: + commit-message: ${{ env.COMMIT_MESSAGE }} - - name: Install XKCD fonts - if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" - run: | - sudo apt-get update -yq - wget http://archive.ubuntu.com/ubuntu/pool/universe/f/fonts-humor-sans/fonts-humor-sans_1.0-4_all.deb - sudo dpkg -i --force-all fonts-humor-sans_1.0-4_all.deb <<< 'yes' - sudo apt install -fy - rm -f $HOME/.matplotlib/fontList.cache - - - name: Install backend libs + - name: Setup rendering dependencies if: "!contains(env.COMMIT_MESSAGE, 'skip ci')" - run: | - # required for macrocircuits project - sudo apt-get install -y libglew-dev - sudo apt-get install -y libglfw3 - sudo apt install -y ffmpeg - echo "MUJOCO_GL=egl" >> $GITHUB_ENV - - - name: Install Graphviz - uses: tlylt/install-graphviz@v1 + uses: ./.github/actions/setup-rendering-deps # - name: Copy tutorials from precourse repo # if: "!contains(env.COMMIT_MESSAGE, 'skip precourse')" @@ -87,6 +57,19 @@ jobs: # rm -r precourse-$BRANCH # rm -r $BRANCH.tar.gz + - name: Get date for cache rotation + id: cache-date + run: echo "date=$(date +'%Y-%m')" >> $GITHUB_OUTPUT + + - name: Cache Jupyter execution + uses: actions/cache@v3 + with: + path: book/.jupyter-cache + key: jupyter-exec-${{ steps.cache-date.outputs.date }}-${{ hashFiles('tutorials/**/*.ipynb', 'requirements.txt') }} + restore-keys: | + jupyter-exec-${{ steps.cache-date.outputs.date }}- + jupyter-exec- + - name: Build student book run: | python ci/generate_book.py student From f721f0205ed94d7d1cf9584b4e4da5e27bf96055 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Sun, 18 Jan 2026 17:04:00 -0500 Subject: [PATCH 20/32] Update requirements.txt --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index f984a7ab0..77cb6117a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -27,6 +27,7 @@ rsatoolbox==0.1.5 vibecheck seaborn plotly +# extra git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From dd225677d7f56ba8d8e685a0b76576f226de0bab Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 19 Jan 2026 23:11:52 -0500 Subject: [PATCH 21/32] Update requirements.txt --- requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 77cb6117a..f984a7ab0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -27,7 +27,6 @@ rsatoolbox==0.1.5 vibecheck seaborn plotly -# extra git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From abb489e39434c80b325c2a5c7b0a3be3f5f99d10 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 19 Jan 2026 23:26:13 -0500 Subject: [PATCH 22/32] Update requirements.txt From 82960b984c0a3fd9b1c4eb673b4ee25ca6e8e831 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Mon, 19 Jan 2026 23:49:46 -0500 Subject: [PATCH 23/32] Update requirements.txt --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index f984a7ab0..de09a5b80 100644 --- a/requirements.txt +++ b/requirements.txt @@ -27,6 +27,7 @@ rsatoolbox==0.1.5 vibecheck seaborn plotly +# git installs git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From 04d6ae1ff0f0624c20119f5f58a44d7725a893c4 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Tue, 20 Jan 2026 00:02:47 -0500 Subject: [PATCH 24/32] Update requirements.txt --- requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index de09a5b80..f984a7ab0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -27,7 +27,6 @@ rsatoolbox==0.1.5 vibecheck seaborn plotly -# git installs git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From eb25e3ed9345676c06cf47cb806895f826b40152 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Tue, 20 Jan 2026 00:05:46 -0500 Subject: [PATCH 25/32] Update requirements.txt --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index f984a7ab0..d6ef35273 100644 --- a/requirements.txt +++ b/requirements.txt @@ -27,6 +27,7 @@ rsatoolbox==0.1.5 vibecheck seaborn plotly +# git packages git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From 573396f4161ddf1e47d2ce076f35d0515b877925 Mon Sep 17 00:00:00 2001 From: Zoltan Date: Tue, 20 Jan 2026 00:19:19 -0500 Subject: [PATCH 26/32] Update requirements.txt --- requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index d6ef35273..f984a7ab0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -27,7 +27,6 @@ rsatoolbox==0.1.5 vibecheck seaborn plotly -# git packages git+https://github.com/neuromatch/TextRecognitionDataGenerator#egg=trdg git+https://github.com/neuromatch/GNS-Modeling#egg=gns git+https://github.com/neuromatch/pyBPL#egg=pybpl From 24470a4835806fe60dd8ca8fa8b00215736fee5a Mon Sep 17 00:00:00 2001 From: Konstantine Tsafatinos Date: Thu, 22 Jan 2026 00:06:23 -0500 Subject: [PATCH 27/32] Fix workflow artifacts generation and restore --- .github/workflows/notebook-pr.yaml | 106 ++++++++++++----------------- 1 file changed, 45 insertions(+), 61 deletions(-) diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index 7adbc8411..4aed37fe2 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -149,32 +149,20 @@ jobs: nb="${{ matrix.notebook }}" dir=$(dirname "$nb") echo "dir=$dir" >> $GITHUB_OUTPUT - # Create a safe artifact name from the notebook path - safe_name=$(echo "$nb" | tr '/' '_' | tr ' ' '_') - echo "artifact_name=$safe_name" >> $GITHUB_OUTPUT + # Use ___ as delimiter (won't appear in paths) so we can restore later + safe_dir=$(echo "$dir" | sed 's|/|___|g') + echo "artifact_name=$safe_dir" >> $GITHUB_OUTPUT - - name: Upload processed notebook + - name: Upload processed tutorial directory uses: actions/upload-artifact@v4 with: - name: notebook-${{ steps.get-dir.outputs.artifact_name }} - path: ${{ matrix.notebook }} - retention-days: 1 - - - name: Upload static files - uses: actions/upload-artifact@v4 - if: always() - with: - name: static-${{ steps.get-dir.outputs.artifact_name }} - path: ${{ steps.get-dir.outputs.dir }}/static/ - if-no-files-found: ignore - retention-days: 1 - - - name: Upload solutions - uses: actions/upload-artifact@v4 - if: always() - with: - name: solutions-${{ steps.get-dir.outputs.artifact_name }} - path: ${{ steps.get-dir.outputs.dir }}/solutions/ + name: tutorial-${{ steps.get-dir.outputs.artifact_name }} + path: | + ${{ steps.get-dir.outputs.dir }}/*.ipynb + ${{ steps.get-dir.outputs.dir }}/static/ + ${{ steps.get-dir.outputs.dir }}/solutions/ + ${{ steps.get-dir.outputs.dir }}/student/ + ${{ steps.get-dir.outputs.dir }}/instructor/ if-no-files-found: ignore retention-days: 1 @@ -212,50 +200,41 @@ jobs: run: | echo "Restoring processed files from artifacts..." - # Process notebook artifacts - for dir in artifacts/notebook-*; do + # Process tutorial artifacts (contains notebooks, static, solutions, student, instructor) + for dir in artifacts/tutorial-*; do if [ -d "$dir" ]; then - echo "Processing $dir" - cp -v "$dir"/*.ipynb tutorials/ 2>/dev/null || true - # Find the actual notebook and copy to correct location - find "$dir" -name "*.ipynb" -exec sh -c ' - for f; do - # Extract original path from artifact structure - rel_path=$(basename "$f") - # Find where this notebook should go based on its name - original=$(find tutorials -name "$rel_path" -type f 2>/dev/null | head -1) - if [ -n "$original" ]; then - cp -v "$f" "$original" - fi - done - ' sh {} + - fi - done + # Extract original tutorial directory path (convert ___ back to /) + artifact_name=$(basename "$dir" | sed 's/^tutorial-//') + tutorial_dir=$(echo "$artifact_name" | sed 's|___|/|g') + echo "Restoring tutorial directory: $tutorial_dir" + + # Copy notebooks to tutorial directory + if ls "$dir"/*.ipynb 1>/dev/null 2>&1; then + cp -v "$dir"/*.ipynb "$tutorial_dir/" + fi - # Process static artifacts - for dir in artifacts/static-*; do - if [ -d "$dir" ]; then - echo "Processing static: $dir" - # Extract tutorial path from artifact name - artifact_name=$(basename "$dir" | sed 's/^static-//') - # Convert back: tutorials_W1D1_xxx.ipynb -> tutorials/W1D1_xxx - tutorial_dir=$(echo "$artifact_name" | sed 's/_/\//g' | sed 's/\.ipynb$//' | xargs dirname) - if [ -d "$tutorial_dir" ]; then + # Copy static files + if [ -d "$dir/static" ]; then mkdir -p "$tutorial_dir/static" - cp -rv "$dir"/* "$tutorial_dir/static/" 2>/dev/null || true + cp -rv "$dir/static"/* "$tutorial_dir/static/" 2>/dev/null || true fi - fi - done - # Process solutions artifacts - for dir in artifacts/solutions-*; do - if [ -d "$dir" ]; then - echo "Processing solutions: $dir" - artifact_name=$(basename "$dir" | sed 's/^solutions-//') - tutorial_dir=$(echo "$artifact_name" | sed 's/_/\//g' | sed 's/\.ipynb$//' | xargs dirname) - if [ -d "$tutorial_dir" ]; then + # Copy solutions + if [ -d "$dir/solutions" ]; then mkdir -p "$tutorial_dir/solutions" - cp -rv "$dir"/* "$tutorial_dir/solutions/" 2>/dev/null || true + cp -rv "$dir/solutions"/* "$tutorial_dir/solutions/" 2>/dev/null || true + fi + + # Copy student versions + if [ -d "$dir/student" ]; then + mkdir -p "$tutorial_dir/student" + cp -rv "$dir/student"/* "$tutorial_dir/student/" 2>/dev/null || true + fi + + # Copy instructor versions + if [ -d "$dir/instructor" ]; then + mkdir -p "$tutorial_dir/instructor" + cp -rv "$dir/instructor"/* "$tutorial_dir/instructor/" 2>/dev/null || true fi fi done @@ -285,6 +264,9 @@ jobs: python ci/find_unreferenced_content.py > to_remove.txt if [ -s to_remove.txt ]; then git rm --pathspec-from-file=to_remove.txt; fi + - name: Clean up artifacts directory + run: rm -rf artifacts/ + - name: Commit post-processed files run: | git config --local user.email "action@github.com" @@ -292,6 +274,8 @@ jobs: git add '**/*.ipynb' git add '**/static/*.png' git add '**/solutions/*.py' + git add '**/student/*.ipynb' + git add '**/instructor/*.ipynb' git add '**/README.md' git diff-index --quiet HEAD || git commit -m "Process tutorial notebooks" From de08e34f337de69da7337e78d279afe4bc7b6772 Mon Sep 17 00:00:00 2001 From: Konstantine Tsafatinos Date: Thu, 22 Jan 2026 00:26:26 -0500 Subject: [PATCH 28/32] Fix workflow artifact naming conflict and fix warning for cache --- .../actions/setup-rendering-deps/action.yml | 11 +++---- .github/workflows/notebook-pr.yaml | 30 +++++++++++-------- 2 files changed, 21 insertions(+), 20 deletions(-) diff --git a/.github/actions/setup-rendering-deps/action.yml b/.github/actions/setup-rendering-deps/action.yml index 0c92f0291..53116d996 100644 --- a/.github/actions/setup-rendering-deps/action.yml +++ b/.github/actions/setup-rendering-deps/action.yml @@ -18,15 +18,12 @@ inputs: runs: using: 'composite' steps: - - name: Cache APT packages - id: cache-apt + - name: Cache fonts + id: cache-fonts uses: actions/cache@v3 with: - path: | - /var/cache/apt/archives - /usr/share/fonts/truetype/humor-sans - key: apt-packages-${{ runner.os }}-fonts-backend-graphviz-v2 - restore-keys: apt-packages-${{ runner.os }}- + path: /usr/share/fonts/truetype/humor-sans + key: fonts-${{ runner.os }}-humor-sans-v1 - name: Install XKCD fonts if: ${{ inputs.skip-fonts != 'true' }} diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index 4aed37fe2..cdebcb214 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -148,17 +148,19 @@ jobs: run: | nb="${{ matrix.notebook }}" dir=$(dirname "$nb") + nb_name=$(basename "$nb" .ipynb) echo "dir=$dir" >> $GITHUB_OUTPUT + echo "nb_name=$nb_name" >> $GITHUB_OUTPUT # Use ___ as delimiter (won't appear in paths) so we can restore later safe_dir=$(echo "$dir" | sed 's|/|___|g') - echo "artifact_name=$safe_dir" >> $GITHUB_OUTPUT + echo "artifact_name=${safe_dir}___${nb_name}" >> $GITHUB_OUTPUT - name: Upload processed tutorial directory uses: actions/upload-artifact@v4 with: name: tutorial-${{ steps.get-dir.outputs.artifact_name }} path: | - ${{ steps.get-dir.outputs.dir }}/*.ipynb + ${{ matrix.notebook }} ${{ steps.get-dir.outputs.dir }}/static/ ${{ steps.get-dir.outputs.dir }}/solutions/ ${{ steps.get-dir.outputs.dir }}/student/ @@ -201,37 +203,39 @@ jobs: echo "Restoring processed files from artifacts..." # Process tutorial artifacts (contains notebooks, static, solutions, student, instructor) + # Artifact name format: tutorial-tutorials___W1D5_Microcircuits___W1D5_Tutorial2 + # Last ___ segment is notebook name, rest is directory path for dir in artifacts/tutorial-*; do if [ -d "$dir" ]; then - # Extract original tutorial directory path (convert ___ back to /) + # Extract artifact name and parse it artifact_name=$(basename "$dir" | sed 's/^tutorial-//') - tutorial_dir=$(echo "$artifact_name" | sed 's|___|/|g') - echo "Restoring tutorial directory: $tutorial_dir" + # Convert ___ to / to get full path, then extract directory + full_path=$(echo "$artifact_name" | sed 's|___|/|g') + tutorial_dir=$(dirname "$full_path") + echo "Restoring to tutorial directory: $tutorial_dir" - # Copy notebooks to tutorial directory - if ls "$dir"/*.ipynb 1>/dev/null 2>&1; then - cp -v "$dir"/*.ipynb "$tutorial_dir/" - fi + # Copy notebooks (merge, don't overwrite existing from other artifacts) + find "$dir" -maxdepth 1 -name "*.ipynb" -exec cp -v {} "$tutorial_dir/" \; - # Copy static files + # Copy static files (merge) if [ -d "$dir/static" ]; then mkdir -p "$tutorial_dir/static" cp -rv "$dir/static"/* "$tutorial_dir/static/" 2>/dev/null || true fi - # Copy solutions + # Copy solutions (merge) if [ -d "$dir/solutions" ]; then mkdir -p "$tutorial_dir/solutions" cp -rv "$dir/solutions"/* "$tutorial_dir/solutions/" 2>/dev/null || true fi - # Copy student versions + # Copy student versions (merge) if [ -d "$dir/student" ]; then mkdir -p "$tutorial_dir/student" cp -rv "$dir/student"/* "$tutorial_dir/student/" 2>/dev/null || true fi - # Copy instructor versions + # Copy instructor versions (merge) if [ -d "$dir/instructor" ]; then mkdir -p "$tutorial_dir/instructor" cp -rv "$dir/instructor"/* "$tutorial_dir/instructor/" 2>/dev/null || true From 20420435841bc5e5502d7c6bbdf56fc1753d8269 Mon Sep 17 00:00:00 2001 From: Konstantine Tsafatinos Date: Thu, 22 Jan 2026 23:38:31 -0500 Subject: [PATCH 29/32] Fix artifact uploads to only upload processed material --- .github/workflows/notebook-pr.yaml | 53 ++++++++---------------------- 1 file changed, 13 insertions(+), 40 deletions(-) diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index cdebcb214..c05467aa8 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -161,10 +161,10 @@ jobs: name: tutorial-${{ steps.get-dir.outputs.artifact_name }} path: | ${{ matrix.notebook }} - ${{ steps.get-dir.outputs.dir }}/static/ - ${{ steps.get-dir.outputs.dir }}/solutions/ - ${{ steps.get-dir.outputs.dir }}/student/ - ${{ steps.get-dir.outputs.dir }}/instructor/ + ${{ steps.get-dir.outputs.dir }}/static/${{ steps.get-dir.outputs.nb_name }}* + ${{ steps.get-dir.outputs.dir }}/solutions/${{ steps.get-dir.outputs.nb_name }}* + ${{ steps.get-dir.outputs.dir }}/student/${{ steps.get-dir.outputs.nb_name }}* + ${{ steps.get-dir.outputs.dir }}/instructor/${{ steps.get-dir.outputs.nb_name }}* if-no-files-found: ignore retention-days: 1 @@ -202,47 +202,20 @@ jobs: run: | echo "Restoring processed files from artifacts..." - # Process tutorial artifacts (contains notebooks, static, solutions, student, instructor) - # Artifact name format: tutorial-tutorials___W1D5_Microcircuits___W1D5_Tutorial2 - # Last ___ segment is notebook name, rest is directory path + # Each artifact preserves the full path structure (e.g., tutorials/W2D4_Macrolearning/...) + # We just need to copy everything from each artifact to the repo root for dir in artifacts/tutorial-*; do if [ -d "$dir" ]; then - # Extract artifact name and parse it - artifact_name=$(basename "$dir" | sed 's/^tutorial-//') - # Convert ___ to / to get full path, then extract directory - full_path=$(echo "$artifact_name" | sed 's|___|/|g') - tutorial_dir=$(dirname "$full_path") - echo "Restoring to tutorial directory: $tutorial_dir" - - # Copy notebooks (merge, don't overwrite existing from other artifacts) - find "$dir" -maxdepth 1 -name "*.ipynb" -exec cp -v {} "$tutorial_dir/" \; - - # Copy static files (merge) - if [ -d "$dir/static" ]; then - mkdir -p "$tutorial_dir/static" - cp -rv "$dir/static"/* "$tutorial_dir/static/" 2>/dev/null || true - fi - - # Copy solutions (merge) - if [ -d "$dir/solutions" ]; then - mkdir -p "$tutorial_dir/solutions" - cp -rv "$dir/solutions"/* "$tutorial_dir/solutions/" 2>/dev/null || true - fi - - # Copy student versions (merge) - if [ -d "$dir/student" ]; then - mkdir -p "$tutorial_dir/student" - cp -rv "$dir/student"/* "$tutorial_dir/student/" 2>/dev/null || true - fi - - # Copy instructor versions (merge) - if [ -d "$dir/instructor" ]; then - mkdir -p "$tutorial_dir/instructor" - cp -rv "$dir/instructor"/* "$tutorial_dir/instructor/" 2>/dev/null || true - fi + echo "Restoring from artifact: $(basename "$dir")" + # Copy all contents preserving directory structure + # The artifact contains files at their original paths (e.g., tutorials/W2D4_Macrolearning/solutions/...) + cp -rv "$dir"/* . 2>/dev/null || true fi done + echo "Restore complete. Listing processed tutorials:" + find tutorials -name "*.ipynb" -newer .git/index 2>/dev/null | head -20 || true + - name: Verify exercises env: COMMIT_MESSAGE: ${{ needs.setup.outputs.commit_message }} From 53423fabf0658d5ffc2734beec0f08e12d1c1ead Mon Sep 17 00:00:00 2001 From: Konstantine Tsafatinos Date: Fri, 23 Jan 2026 09:24:19 -0500 Subject: [PATCH 30/32] Fix artifact restore to correct directory --- .github/workflows/notebook-pr.yaml | 23 +++++++++++++++-------- 1 file changed, 15 insertions(+), 8 deletions(-) diff --git a/.github/workflows/notebook-pr.yaml b/.github/workflows/notebook-pr.yaml index c05467aa8..f73d36852 100644 --- a/.github/workflows/notebook-pr.yaml +++ b/.github/workflows/notebook-pr.yaml @@ -202,19 +202,26 @@ jobs: run: | echo "Restoring processed files from artifacts..." - # Each artifact preserves the full path structure (e.g., tutorials/W2D4_Macrolearning/...) - # We just need to copy everything from each artifact to the repo root + # Artifact name format: tutorial-tutorials___W1D5_Microcircuits___W1D5_Tutorial2 + # The path is encoded with ___ as delimiter. Last segment is notebook name, rest is directory. + # upload-artifact strips common path prefixes, so we need to reconstruct the target directory. for dir in artifacts/tutorial-*; do if [ -d "$dir" ]; then - echo "Restoring from artifact: $(basename "$dir")" - # Copy all contents preserving directory structure - # The artifact contains files at their original paths (e.g., tutorials/W2D4_Macrolearning/solutions/...) - cp -rv "$dir"/* . 2>/dev/null || true + # Extract artifact name and parse it to get target directory + artifact_name=$(basename "$dir" | sed 's/^tutorial-//') + # Convert ___ to / to get full path, then extract directory + full_path=$(echo "$artifact_name" | sed 's|___|/|g') + tutorial_dir=$(dirname "$full_path") + echo "Restoring from artifact $(basename "$dir") to: $tutorial_dir" + + # Copy all files to the correct tutorial directory + # The artifact contains files with stripped prefixes (e.g., W1D5_Tutorial2.ipynb, student/, solutions/) + mkdir -p "$tutorial_dir" + cp -rv "$dir"/* "$tutorial_dir/" 2>/dev/null || true fi done - echo "Restore complete. Listing processed tutorials:" - find tutorials -name "*.ipynb" -newer .git/index 2>/dev/null | head -20 || true + echo "Restore complete." - name: Verify exercises env: From fe036bab0588fb62c0c78d562b5d0d4ec5ad1922 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Fri, 23 Jan 2026 20:39:03 +0000 Subject: [PATCH 31/32] Process tutorial notebooks --- .../W1D1_Generalization/W1D1_Tutorial1.ipynb | 2 +- .../W1D1_Generalization/W1D1_Tutorial3.ipynb | 2 +- .../instructor/W1D1_Tutorial1.ipynb | 4 +- .../instructor/W1D1_Tutorial3.ipynb | 8 ++-- .../student/W1D1_Tutorial1.ipynb | 4 +- .../student/W1D1_Tutorial3.ipynb | 8 ++-- .../W1D2_ComparingTasks/W1D2_Tutorial1.ipynb | 2 +- .../W1D2_ComparingTasks/W1D2_Tutorial2.ipynb | 2 +- .../W1D2_ComparingTasks/W1D2_Tutorial3.ipynb | 2 +- .../instructor/W1D2_Tutorial1.ipynb | 4 +- .../instructor/W1D2_Tutorial2.ipynb | 6 +-- .../instructor/W1D2_Tutorial3.ipynb | 4 +- .../W1D2_Tutorial2_Solution_39154423_0.png | Bin 240662 -> 248106 bytes .../student/W1D2_Tutorial1.ipynb | 4 +- .../student/W1D2_Tutorial2.ipynb | 6 +-- .../student/W1D2_Tutorial3.ipynb | 4 +- .../W1D3_Tutorial1.ipynb | 2 +- .../W1D3_Tutorial2.ipynb | 2 +- .../W1D3_Tutorial3.ipynb | 2 +- .../W1D3_Tutorial4.ipynb | 2 +- .../W1D3_Tutorial5.ipynb | 6 ++- .../instructor/W1D3_Tutorial1.ipynb | 6 +-- .../instructor/W1D3_Tutorial2.ipynb | 4 +- .../instructor/W1D3_Tutorial3.ipynb | 8 ++-- .../instructor/W1D3_Tutorial4.ipynb | 4 +- .../instructor/W1D3_Tutorial5.ipynb | 37 +++++++++++++++--- .../W1D3_Tutorial4_Solution_1ac2083f_0.png | Bin 131259 -> 150468 bytes .../W1D3_Tutorial5_Solution_0467919d_0.png | Bin 72195 -> 72240 bytes .../student/W1D3_Tutorial1.ipynb | 6 +-- .../student/W1D3_Tutorial2.ipynb | 4 +- .../student/W1D3_Tutorial3.ipynb | 8 ++-- .../student/W1D3_Tutorial4.ipynb | 4 +- .../student/W1D3_Tutorial5.ipynb | 37 +++++++++++++++--- .../W1D5_Microcircuits/W1D5_Tutorial1.ipynb | 2 +- .../W1D5_Microcircuits/W1D5_Tutorial2.ipynb | 2 +- .../W1D5_Microcircuits/W1D5_Tutorial3.ipynb | 2 +- .../instructor/W1D5_Tutorial1.ipynb | 4 +- .../instructor/W1D5_Tutorial2.ipynb | 4 +- .../instructor/W1D5_Tutorial3.ipynb | 12 +++--- .../student/W1D5_Tutorial1.ipynb | 4 +- .../student/W1D5_Tutorial2.ipynb | 4 +- .../student/W1D5_Tutorial3.ipynb | 12 +++--- .../W2D1_Macrocircuits/W2D1_Tutorial1.ipynb | 2 +- .../instructor/W2D1_Tutorial1.ipynb | 14 +++---- ...py => W2D1_Tutorial1_Solution_ab451c07.py} | 2 +- .../student/W2D1_Tutorial1.ipynb | 14 +++---- .../W2D3_Microlearning/W2D3_Tutorial1.ipynb | 2 +- .../instructor/W2D3_Tutorial1.ipynb | 8 ++-- .../student/W2D3_Tutorial1.ipynb | 8 ++-- .../W2D4_Macrolearning/W2D4_Tutorial1.ipynb | 2 +- .../W2D4_Macrolearning/W2D4_Tutorial2.ipynb | 2 +- .../W2D4_Macrolearning/W2D4_Tutorial4.ipynb | 2 +- .../W2D4_Macrolearning/W2D4_Tutorial5.ipynb | 2 +- .../instructor/W2D4_Tutorial1.ipynb | 10 ++--- .../instructor/W2D4_Tutorial2.ipynb | 10 ++--- .../instructor/W2D4_Tutorial4.ipynb | 8 ++-- .../instructor/W2D4_Tutorial5.ipynb | 12 +++--- ...py => W2D4_Tutorial1_Solution_2040941d.py} | 2 +- .../W2D4_Tutorial2_Solution_07232036_53.png | Bin 131778 -> 0 bytes .../W2D4_Tutorial2_Solution_07232036_54.png | Bin 114421 -> 131778 bytes .../W2D4_Tutorial2_Solution_07232036_55.png | Bin 0 -> 114421 bytes .../student/W2D4_Tutorial1.ipynb | 10 ++--- .../student/W2D4_Tutorial2.ipynb | 14 +++---- .../student/W2D4_Tutorial4.ipynb | 8 ++-- .../student/W2D4_Tutorial5.ipynb | 12 +++--- tutorials/W2D5_Mysteries/W2D5_Intro.ipynb | 2 +- tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb | 2 +- .../instructor/W2D5_Intro.ipynb | 4 +- .../instructor/W2D5_Tutorial1.ipynb | 6 +-- .../W2D5_Mysteries/student/W2D5_Intro.ipynb | 4 +- .../student/W2D5_Tutorial1.ipynb | 6 +-- 71 files changed, 232 insertions(+), 176 deletions(-) rename tutorials/W2D1_Macrocircuits/solutions/{W2D1_Tutorial1_Solution_bc99a7f9.py => W2D1_Tutorial1_Solution_ab451c07.py} (93%) rename tutorials/W2D4_Macrolearning/solutions/{W2D4_Tutorial1_Solution_0b85ba35.py => W2D4_Tutorial1_Solution_2040941d.py} (95%) delete mode 100644 tutorials/W2D4_Macrolearning/static/W2D4_Tutorial2_Solution_07232036_53.png create mode 100644 tutorials/W2D4_Macrolearning/static/W2D4_Tutorial2_Solution_07232036_55.png diff --git a/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb b/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb index a98a86bfd..14054993d 100644 --- a/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb +++ b/tutorials/W1D1_Generalization/W1D1_Tutorial1.ipynb @@ -2600,7 +2600,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb b/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb index f0c6984df..c0f0b78f2 100644 --- a/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb +++ b/tutorials/W1D1_Generalization/W1D1_Tutorial3.ipynb @@ -1006,7 +1006,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.7" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial1.ipynb b/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial1.ipynb index 6ea2d2191..03ac64055 100644 --- a/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial1.ipynb +++ b/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial1.ipynb @@ -1569,7 +1569,7 @@ "# Section 3: Dissecting TrOCR\n", "\n", "TrOCR is a model that performs printed optical character recognition and handwriting transcription using the transformer model. But what's inside of it?\n", - "It's important to note here that the original transformer model consisted of an encoder step, following by a decoder step. Taken together, this was the initial Transformer model of Vaswani et al. However, subsequent research into transformers led researchers to find applications of the encoding step specifically (encoding models like BERT) and also specific applications of the decoder step (autoregressive models like GPT). This meant that the terminology then changed to be *encoder transformers* and *decoder/causal/autoregressive transformers*. TrOCR is an example of the original transformer setup (both an encoder step and decoder step joined together). The image below outlines this setup. This also matches the transformer architecture given in the video above." + "It's important to note here that the original transformer model consisted of an encoder step, followed by a decoder step. Taken together, this was the initial Transformer model of Vaswani et al. However, subsequent research into transformers led researchers to find applications of the encoding step specifically (encoding models like BERT) and also specific applications of the decoder step (autoregressive models like GPT). This meant that the terminology then changed to be *encoder transformers* and *decoder/causal/autoregressive transformers*. TrOCR is an example of the original transformer setup (both an encoder step and decoder step joined together). The image below outlines this setup. This also matches the transformer architecture given in the video above." ] }, { @@ -2608,7 +2608,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial3.ipynb b/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial3.ipynb index 9847fdf6f..c0f0b78f2 100644 --- a/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial3.ipynb +++ b/tutorials/W1D1_Generalization/instructor/W1D1_Tutorial3.ipynb @@ -187,7 +187,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high-definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -620,7 +620,7 @@ "\n", "Let's put ourselves in the mindset of a cognitive scientist studying handwriting. We're interested in how people learn to recognize new characters. Indeed, humans display low **sample complexity** when learning new visual concepts: they seem to grasp new concepts with very few presentations, generalizing effortlessly. In AI, learning from $k$ labeled examples is known as $k$-shot learning; one-shot and few-shot learning refer to learning from one or a few labeled examples.\n", "\n", - "A good dataset to investigate one-shot learning is the Omniglot dataset. Omniglot has sometimes been described as *MNIST, transposed*. Instead of **thousands** of examples from **10** digit classes, Omniglot consists of **20** instances from **1623** character classes. These character classes are sourced from 50 alphabets, both natural (e.g. Cherokee or Greek) and constructed (e.g. the alien alphabet from the TV show Futurama). \n", + "A good dataset to investigate one-shot learning is the Omniglot dataset. Omniglot has sometimes been described as *MNIST, transposed*. Instead of **thousands** of examples from **10** digit classes (many examples, few classes), Omniglot consists of **20** instances from **1623** character classes (few examples, many classes). These character classes are sourced from 50 alphabets, both natural (e.g. Cherokee or Greek) and constructed (e.g. the alien alphabet from the TV show Futurama). \n", "\n", "![Sample characters from the Omniglot dataset](https://github.com/brendenlake/omniglot/raw/master/omniglot_grid.jpg)\n", "\n", @@ -992,7 +992,7 @@ "name": "python3" }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -1006,7 +1006,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D1_Generalization/student/W1D1_Tutorial1.ipynb b/tutorials/W1D1_Generalization/student/W1D1_Tutorial1.ipynb index 2be2df2e1..cb31764bd 100644 --- a/tutorials/W1D1_Generalization/student/W1D1_Tutorial1.ipynb +++ b/tutorials/W1D1_Generalization/student/W1D1_Tutorial1.ipynb @@ -1460,7 +1460,7 @@ "# Section 3: Dissecting TrOCR\n", "\n", "TrOCR is a model that performs printed optical character recognition and handwriting transcription using the transformer model. But what's inside of it?\n", - "It's important to note here that the original transformer model consisted of an encoder step, following by a decoder step. Taken together, this was the initial Transformer model of Vaswani et al. However, subsequent research into transformers led researchers to find applications of the encoding step specifically (encoding models like BERT) and also specific applications of the decoder step (autoregressive models like GPT). This meant that the terminology then changed to be *encoder transformers* and *decoder/causal/autoregressive transformers*. TrOCR is an example of the original transformer setup (both an encoder step and decoder step joined together). The image below outlines this setup. This also matches the transformer architecture given in the video above." + "It's important to note here that the original transformer model consisted of an encoder step, followed by a decoder step. Taken together, this was the initial Transformer model of Vaswani et al. However, subsequent research into transformers led researchers to find applications of the encoding step specifically (encoding models like BERT) and also specific applications of the decoder step (autoregressive models like GPT). This meant that the terminology then changed to be *encoder transformers* and *decoder/causal/autoregressive transformers*. TrOCR is an example of the original transformer setup (both an encoder step and decoder step joined together). The image below outlines this setup. This also matches the transformer architecture given in the video above." ] }, { @@ -2474,7 +2474,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D1_Generalization/student/W1D1_Tutorial3.ipynb b/tutorials/W1D1_Generalization/student/W1D1_Tutorial3.ipynb index f50f4b2ae..dd222622b 100644 --- a/tutorials/W1D1_Generalization/student/W1D1_Tutorial3.ipynb +++ b/tutorials/W1D1_Generalization/student/W1D1_Tutorial3.ipynb @@ -187,7 +187,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high-definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -620,7 +620,7 @@ "\n", "Let's put ourselves in the mindset of a cognitive scientist studying handwriting. We're interested in how people learn to recognize new characters. Indeed, humans display low **sample complexity** when learning new visual concepts: they seem to grasp new concepts with very few presentations, generalizing effortlessly. In AI, learning from $k$ labeled examples is known as $k$-shot learning; one-shot and few-shot learning refer to learning from one or a few labeled examples.\n", "\n", - "A good dataset to investigate one-shot learning is the Omniglot dataset. Omniglot has sometimes been described as *MNIST, transposed*. Instead of **thousands** of examples from **10** digit classes, Omniglot consists of **20** instances from **1623** character classes. These character classes are sourced from 50 alphabets, both natural (e.g. Cherokee or Greek) and constructed (e.g. the alien alphabet from the TV show Futurama). \n", + "A good dataset to investigate one-shot learning is the Omniglot dataset. Omniglot has sometimes been described as *MNIST, transposed*. Instead of **thousands** of examples from **10** digit classes (many examples, few classes), Omniglot consists of **20** instances from **1623** character classes (few examples, many classes). These character classes are sourced from 50 alphabets, both natural (e.g. Cherokee or Greek) and constructed (e.g. the alien alphabet from the TV show Futurama). \n", "\n", "![Sample characters from the Omniglot dataset](https://github.com/brendenlake/omniglot/raw/master/omniglot_grid.jpg)\n", "\n", @@ -954,7 +954,7 @@ "name": "python3" }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -968,7 +968,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb index 70c392fa1..e4ed55751 100644 --- a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb +++ b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial1.ipynb @@ -3489,7 +3489,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb index 500b4da85..e63c52579 100644 --- a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb +++ b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial2.ipynb @@ -1694,7 +1694,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb index 991ce8d1e..bd0c29f91 100644 --- a/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb +++ b/tutorials/W1D2_ComparingTasks/W1D2_Tutorial3.ipynb @@ -1257,7 +1257,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial1.ipynb b/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial1.ipynb index d0290b48a..8cff6bf8a 100644 --- a/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial1.ipynb +++ b/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial1.ipynb @@ -39,7 +39,7 @@ "\n", "# Tutorial Objectives\n", "\n", - "*Estimated timing of tutorial: 90 minutes*\n", + "*Estimated time of tutorial: 90 minutes*\n", "\n", "In this tutorial, we'll explore how task specification affects generalization in networks. We will use the same base architecture (a convolutional neural network / CNN) to perform multiple different tasks. We will explore the number of training points and number of epochs needed to train these networks up to a specific accuracy value. Additionally, we will explore how well representations learned for a given task generalize, and whether these representations can be used to solve the other tasks.\n", "\n", @@ -3495,7 +3495,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial2.ipynb b/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial2.ipynb index 0ace6e29e..224d169bc 100644 --- a/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial2.ipynb +++ b/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial2.ipynb @@ -798,7 +798,7 @@ "\n", "Here $\\tau$ is a temperature parameter that controls the sharpness of the distribution. You can think of it as a cross-entropy loss with a single pseudo-class corresponding to similar labels and the negative pairs corresponding to different labels. \n", "\n", - "### Decoupled constrastive learning\n", + "### Decoupled contrastive learning\n", "\n", "InfoNCE typically requires substantial batch sizes—commonly 128 or larger—to perform optimally. The need for large batch sizes stems from the necessity for diverse negative samples in the batch to effectively learn the contrasts. However, large batch sizes can be impractical in resource-constrained settings or when data availability is limited.\n", "\n", @@ -1662,7 +1662,7 @@ "\n", "Through practical exercises with the MNIST dataset, we've seen how contrastive learning can be implemented. The session highlighted the intuitive appeal of contrastive learning: learning by comparison, which is a natural way for both humans and machines to understand the world.\n", "\n", - "Let's bring this back to the overall goal of the overall theme of the course, **generalization**. So far, we've looked at how tasks are defined by cost functions, specifications of different losses. Some tasks require models to learn representatinos that are not task-specific but can be very task general in large parts, and specialised (task-specific) in other parts. For example, most of a CNN architecture might specialise in learning features present in the real world: shapes, colors, lines. Contrastive learning is a way we can efficently make use of the large amounts of unlabeled data in the world. It's also a task that, over large datasets, results in models learning very rich, general representations. \n", + "Let's bring this back to the overall goal of the overall theme of the course, **generalization**. So far, we've looked at how tasks are defined by cost functions, specifications of different losses. Some tasks require models to learn representations that are not task-specific but can be very task general in large parts, and specialised (task-specific) in other parts. For example, most of a CNN architecture might specialise in learning features present in the real world: shapes, colors, lines. Contrastive learning is a way we can efficiently make use of the large amounts of unlabeled data in the world. It's also a task that, over large datasets, results in models learning very rich, general representations. \n", "\n", "Take a moment to think about all the ways that learning via contrastive learning might give a network (human or artificial) a rich set of representations. We'll soon get to studying how to measure representations and across multiple systems and their geometry. But first, let's address another method to learn tasks that's a little bit different to what we've seen before: Reinforcement Learning." ] @@ -1698,7 +1698,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial3.ipynb b/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial3.ipynb index 4835f2f05..1c34fe95f 100644 --- a/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial3.ipynb +++ b/tutorials/W1D2_ComparingTasks/instructor/W1D2_Tutorial3.ipynb @@ -515,7 +515,7 @@ "\n", "$$R(T) = \\sum_{t = 1}^T (p^* - \\mathbb{E}(p_{a_t})),$$\n", "\n", - "where $p^*$ is the probability of the reward for the best arm, i.e., max($p_L$, $p_r$). $\\mathbb{E}(p_{a_t})$ corresponds to the expected probability of reward for the action that was chosen at the previous time $t$." + "where $p^*$ is the probability of the reward for the best arm, i.e., max($p_L$, $p_R$). $\\mathbb{E}(p_{a_t})$ corresponds to the expected probability of reward for the action that was chosen at the previous time $t$." ] }, { @@ -1259,7 +1259,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/static/W1D2_Tutorial2_Solution_39154423_0.png b/tutorials/W1D2_ComparingTasks/static/W1D2_Tutorial2_Solution_39154423_0.png index 65509755d5ad7bfc299b76dad4ed5907af92fb8e..705e9fb85d0c9c3c885285c1f8dc89377e8fd9d3 100644 GIT binary patch literal 248106 zcmdSBWmJ`G*EY;HQArVL5K&5{J0%398w3#n>5^^`kx)|UmhLWTC6(@2AR*n|_0DUL z_qm_F@A3Wk#`o|0<8Z)Yt!tg=?KD+s^im+R63J4T~?GEn0q$LU8W=cwc>&@eaK@-9SiN zf!NjKp|5FcQgeCorB5+$-f_77zWT${@!xKttLvxdU(Hx}t6%)mXxQPVS$Jb1wmu(S z&FiwzW#fd=$aL=mjxajq|NJ9OIyr*>?;i~ak)i(Q*MGkdb#=Li`kz1PW03dd_|IFw zYeMWjc}j2m^CzXZ29jj{_hZm0Q?=m#?|Lffo&GNSsw^&$M0<@k8qfaw&+F$*9JtbBMeS{Ph 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"\n", - "*Estimated timing of tutorial: 90 minutes*\n", + "*Estimated time of tutorial: 90 minutes*\n", "\n", "In this tutorial, we'll explore how task specification affects generalization in networks. We will use the same base architecture (a convolutional neural network / CNN) to perform multiple different tasks. We will explore the number of training points and number of epochs needed to train these networks up to a specific accuracy value. Additionally, we will explore how well representations learned for a given task generalize, and whether these representations can be used to solve the other tasks.\n", "\n", @@ -3425,7 +3425,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial2.ipynb b/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial2.ipynb index df30e8fbe..a7553d875 100644 --- a/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial2.ipynb +++ b/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial2.ipynb @@ -760,7 +760,7 @@ "\n", "Here $\\tau$ is a temperature parameter that controls the sharpness of the distribution. You can think of it as a cross-entropy loss with a single pseudo-class corresponding to similar labels and the negative pairs corresponding to different labels. \n", "\n", - "### Decoupled constrastive learning\n", + "### Decoupled contrastive learning\n", "\n", "InfoNCE typically requires substantial batch sizes—commonly 128 or larger—to perform optimally. The need for large batch sizes stems from the necessity for diverse negative samples in the batch to effectively learn the contrasts. However, large batch sizes can be impractical in resource-constrained settings or when data availability is limited.\n", "\n", @@ -1460,7 +1460,7 @@ "\n", "Through practical exercises with the MNIST dataset, we've seen how contrastive learning can be implemented. The session highlighted the intuitive appeal of contrastive learning: learning by comparison, which is a natural way for both humans and machines to understand the world.\n", "\n", - "Let's bring this back to the overall goal of the overall theme of the course, **generalization**. So far, we've looked at how tasks are defined by cost functions, specifications of different losses. Some tasks require models to learn representatinos that are not task-specific but can be very task general in large parts, and specialised (task-specific) in other parts. For example, most of a CNN architecture might specialise in learning features present in the real world: shapes, colors, lines. Contrastive learning is a way we can efficently make use of the large amounts of unlabeled data in the world. It's also a task that, over large datasets, results in models learning very rich, general representations. \n", + "Let's bring this back to the overall goal of the overall theme of the course, **generalization**. So far, we've looked at how tasks are defined by cost functions, specifications of different losses. Some tasks require models to learn representations that are not task-specific but can be very task general in large parts, and specialised (task-specific) in other parts. For example, most of a CNN architecture might specialise in learning features present in the real world: shapes, colors, lines. Contrastive learning is a way we can efficiently make use of the large amounts of unlabeled data in the world. It's also a task that, over large datasets, results in models learning very rich, general representations. \n", "\n", "Take a moment to think about all the ways that learning via contrastive learning might give a network (human or artificial) a rich set of representations. We'll soon get to studying how to measure representations and across multiple systems and their geometry. But first, let's address another method to learn tasks that's a little bit different to what we've seen before: Reinforcement Learning." ] @@ -1496,7 +1496,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial3.ipynb b/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial3.ipynb index 9937858b7..a5fafefb4 100644 --- a/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial3.ipynb +++ b/tutorials/W1D2_ComparingTasks/student/W1D2_Tutorial3.ipynb @@ -509,7 +509,7 @@ "\n", "$$R(T) = \\sum_{t = 1}^T (p^* - \\mathbb{E}(p_{a_t})),$$\n", "\n", - "where $p^*$ is the probability of the reward for the best arm, i.e., max($p_L$, $p_r$). $\\mathbb{E}(p_{a_t})$ corresponds to the expected probability of reward for the action that was chosen at the previous time $t$." + "where $p^*$ is the probability of the reward for the best arm, i.e., max($p_L$, $p_R$). $\\mathbb{E}(p_{a_t})$ corresponds to the expected probability of reward for the action that was chosen at the previous time $t$." ] }, { @@ -1215,7 +1215,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb index 51a87fa5d..905a673c4 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial1.ipynb @@ -1761,7 +1761,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb index fbd860a10..83bdb20b0 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial2.ipynb @@ -1732,7 +1732,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb index d991cd1fc..f0ba68c6b 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial3.ipynb @@ -2401,7 +2401,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb index 8ab31206c..26eb2858f 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial4.ipynb @@ -1613,7 +1613,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb index aa4f573de..898835c7c 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/W1D3_Tutorial5.ipynb @@ -2326,7 +2326,9 @@ "cell_type": "code", "execution_count": null, "id": "3d4091b9", - "metadata": {}, + "metadata": { + "execution": {} + }, "outputs": [], "source": [ "# Plot the trajectory\n", @@ -2765,7 +2767,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial1.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial1.ipynb index 10d865eed..905a673c4 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial1.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial1.ipynb @@ -1120,7 +1120,7 @@ }, "outputs": [], "source": [ - "# @title Train adversirally robust model\n", + "# @title Train adversirially robust model\n", "\n", "# model_robust = Net().to(args.device)\n", "# optimizer = optim.Adadelta(model_robust.parameters(), lr=args.lr)\n", @@ -1532,7 +1532,7 @@ "\n", "The color-coded matrix shows the dot product similarity between activations for the training images (rows) and test images (columns)--yellow means that the two images are highly similar based on the dot product of the activations for those images, and dark blue means the two images are highly dissimilar. The goal of this exercise is to explore how the predicted leaning direction of the test stimuli is determined by your leaning ratings of the training stimuli, and the similarity of the training and test stimuli.\n", "\n", - "1) Using the matrix, find training and test images that are highly similar and play around with the rating of the training image. How much does the predicted learning rating for the test image change? Try this for a few different pairs.\n", + "1) Using the matrix, find training and test images that are highly similar and play around with the rating of the training image. How much does the predicted leaning rating for the test image change? Try this for a few different pairs.\n", "\n", "2) Now find a highly dissimilar pair and play with the rating. How much does the predicted leaning of the test image change? Try this for a few different pairs.\n", "\n", @@ -1761,7 +1761,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial2.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial2.ipynb index d788fd7be..83bdb20b0 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial2.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial2.ipynb @@ -1698,7 +1698,7 @@ "- Characterized the computation that happens across different layers of a network as a path, with each step changing the geometry of the representation to go from input pixels to target labels\n", "- Examined the representational geometry paths for different model architectures and different inputs and learned how to interpret them\n", "\n", - "We used this method to examine how models trained on adversarial stimulu (vs control) differentially treat inputs that are both normal and adversarial. We saw that the category / class level similarity structure, which was different for the standard model on adversarial stimuli, resulting in lower accuracies, actually has a divergent path during the conversion from input data to output labels. This is another link into the idea of **similarity** as a lens that helps us understand **generalization**." + "We used this method to examine how models trained on adversarial stimuli (vs control) differentially treat inputs that are both normal and adversarial. We saw that the category / class level similarity structure, which was different for the standard model on adversarial stimuli, resulting in lower accuracies, actually has a divergent path during the conversion from input data to output labels. This is another link into the idea of **similarity** as a lens that helps us understand **generalization**." ] } ], @@ -1732,7 +1732,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial3.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial3.ipynb index 368761ca9..036113626 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial3.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial3.ipynb @@ -1270,7 +1270,7 @@ "execution": {} }, "source": [ - "## Loading fMRI patterns from the NSD datset" + "## Loading fMRI patterns from the Natural Scenes Dataset" ] }, { @@ -1279,7 +1279,7 @@ "execution": {} }, "source": [ - "Let's now load the fMRI patterns from the NSD dataset for these 90 images.\n", + "Let's now load the fMRI patterns from NSD for these 90 images.\n", "We have pre-extracted the patterns, so we just need to load Numpy arrays from the `.npy` files." ] }, @@ -2373,7 +2373,7 @@ "source": [ "# The Big Picture\n", "\n", - "Generalization can arise across multiple dimensions, whether that be generalization of an experiment to a new set of subjects or whether a new set of stimuli generalize to the same subjects. More likely, we would want to know how much an experiment would generalize to novel subjects across novel stimuli. We can test these ideas statistically by using the bootstreap method in statistics. This notebook highlights some issues with naive approaches to statistics when assessing generalization in this way. We explored the 2-factor bootstrap method and used a toolbox that explicitly takes care of the calculation so that we don't overestimate the variance involved. It's important to be aware of factors of generalization and how multiple overlapping factors might interact." + "Generalization can arise across multiple dimensions, whether that be generalization of an experiment to a new set of subjects or whether a new set of stimuli generalize to the same subjects. More likely, we would want to know how much an experiment would generalize to novel subjects across novel stimuli. We can test these ideas statistically by using the bootstrap method in statistics. This notebook highlights some issues with naive approaches to statistics when assessing generalization in this way. We explored the 2-factor bootstrap method and used a toolbox that explicitly takes care of the calculation so that we don't overestimate the variance involved. It's important to be aware of factors of generalization and how multiple overlapping factors might interact." ] } ], @@ -2405,7 +2405,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial4.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial4.ipynb index 3566eb171..9d4c69301 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial4.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial4.ipynb @@ -1300,7 +1300,7 @@ "source": [ "To obtain an unbiased estimate, we can split the data into independent sets and cross-validate the difference between patterns across the two sets (Allefeld and Haynes, 2014; Nili et al. 2014).\n", "\n", - "The cross-validated squared Euclidean distance–the so-called *crossclidian*–between two activity patterns $\\mathbf{b_i}$ and $\\mathbf{b_j}$ can be computed as: \n", + "The cross-validated squared Euclidean distance–the so-called *crossclidean*–between two activity patterns $\\mathbf{b_i}$ and $\\mathbf{b_j}$ can be computed as: \n", "\n", "$$d^2_{\\text{Euclidean, cross-validated}}=(\\mathbf{b_i} - \\mathbf{b_j})_\\text{train}(\\mathbf{b_i} - \\mathbf{b_j})_\\text{test}^T$$\n", "\n", @@ -1619,7 +1619,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial5.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial5.ipynb index 8c9385c4b..889c93e92 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial5.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/instructor/W1D3_Tutorial5.ipynb @@ -2185,9 +2185,9 @@ "\n", "# Intro\n", "\n", - "Welcome to Tutorial 5 of Day 3 (W1D3) of the NeuroAI course. In this tutorial we are going to look at an exciting method that measures similarity from a slightly different perspective, a temporal one. The prior methods we have looked at were centeed around geometry and spatial representations, where we looked at metrics such as the Euclidean and Mahalanobis distance metrics. However, one thing we often want to study in neuroscience and in AI separately - is the temporal domain. Even more so in our own field of NeuroAI, we often deal with time series of neuronal / biological recordings. One thing you should already have a broad level of awareness of is that end structures can end up looking the same even though the paths taken to arrive at those end structures were very different.\n", + "Welcome to Tutorial 5 of Day 3 (W1D3) of the NeuroAI course. The prior methods we have looked at so far were centered around geometry and spatial representations, where we looked at metrics such as the Euclidean and Mahalanobis distance metrics. In this tutorial we are going to look at an exciting method that measures similarity from a slightly different perspective - a temporal one. This is very important in our field of NeuroAI as we often deal with time series of neuronal / biological recordings. One thing you should already be aware of is the fact that geometric plots of temporal data can end up looking the same even though the paths taken to arrive at those end structures are very different.\n", "\n", - "In NeuroAI, we're often confronted with systems that seem to have some sort of overlap and we want to study whether this implies there is a shared computation pairs up with the shared task (we looked at this in detail yesterday in our *Comparing Tasks* day). Today, we will begin by watching a short intro video by Mitchell Ostrow, who will describe his method to compare representations over temporal sequences (the method is called Dynamic Similarity Analysis). Then we are going to introduce three simple dynamical systems and we will explore them from the perspective of Dynamic Similarity Analysis and also describe the conceptual relationship to Representational Similarity Analysis. You will have a short coding exercise on the topic of temporal similarity analysis on three different types of trajectories. \n", + "In NeuroAI, we're often confronted with systems that seem to have some sort of overlap and we want to study whether this implies there is a shared computation pairs up with the shared task (we looked at this in detail yesterday in the day on *Comparing Tasks*). Today, we will watch a short intro video by Mitchell Ostrow, who will describe a method he devised to compare representations of temporal sequences (the method is called *Dynamic Similarity Analysis*). Then we are going to introduce three simple dynamical systems and we will explore them from the perspective of Dynamic Similarity Analysis and also describe the conceptual relationship to Representational Similarity Analysis. You will have a short coding exercise on the topic of temporal similarity analysis on three different types of trajectories. \n", "\n", "At the end of the tutorial, we will finally look at a further aspect of temporal sequences using RNNs. This is an adaptation of the ideas introduced in Tutorial 2 but now based around recurrent representations from RNNs. We hope you enjoy this tutorial today and that it gets you thinking not just what similarity values mean, but which ones are appropriate (here, from a spatial or temporal perspective). We aim to continually expand the tools necessary in the NeuroAI researcher's toolkit. Complementary tools, when applicable, can often tell a far richer story than just using a single method." ] @@ -2322,6 +2322,33 @@ "trajectory_walk = trajectory" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d4091b9", + "metadata": { + "execution": {} + }, + "outputs": [], + "source": [ + "# Plot the trajectory\n", + "fig, axes = plt.subplots(1,3, figsize=(10, 4))\n", + "\n", + "axes[0].plot(trajectory_circle[:, 0], trajectory_circle[:, 1])\n", + "axes[0].set_title(\"Circle\")\n", + "axes[0].set_xlabel(\"X\")\n", + "axes[0].set_ylabel(\"Y\")\n", + "axes[1].plot(trajectory_oval[:, 0], trajectory_oval[:, 1])\n", + "axes[1].set_title(\"Oval\")\n", + "axes[1].set_xlabel(\"X\")\n", + "axes[1].set_ylabel(\"Y\")\n", + "axes[2].plot(trajectory_walk[:, 0], trajectory_walk[:, 1])\n", + "axes[2].set_title(\"2D Random Walk\")\n", + "axes[2].set_xlabel(\"X\")\n", + "axes[2].set_ylabel(\"Y\")\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "id": "113a0dee", @@ -2329,9 +2356,9 @@ "execution": {} }, "source": [ - "Can you see how the spatial / geometric similarity of `R-Walk` and `Oval` are more similar, but the oscillations during the temporal sequence are shared between `Circle` and `Oval`? Let's run Dynamic Similarity Analysis on these temporal sequences and see what scores are returned.\n", + "Can you see how the spatial / geometric similarity of `Random Walk` and `Oval` are quite similar? Can you also observe that the `Circle` and `Oval` trajectories contain similar oscillatory patterns? What we mean by similarity can be viewed through different lenses: a spatial/geometric shape-based one, and another temporal one that considers how the sequences **pattern together**. Let's run Dynamic Similarity Analysis on these temporal sequences and explore the similarity values to further get a grasp on this difference.\n", "\n", - "We calcularted `trajectory_oval` and `trajectory_circle` above, so let's plug these into the `DSA` function imported earlier (in the helper function cell) and see what the similarity score is." + "We calculated `trajectory_oval` and `trajectory_circle` above, so let's plug these into the `DSA` function imported earlier (in the helper function cell) and see what the similarity score is." ] }, { @@ -2742,7 +2769,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/static/W1D3_Tutorial4_Solution_1ac2083f_0.png b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/static/W1D3_Tutorial4_Solution_1ac2083f_0.png index 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b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial1.ipynb index f1c4d52a6..abbdf5c82 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial1.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial1.ipynb @@ -1120,7 +1120,7 @@ }, "outputs": [], "source": [ - "# @title Train adversirally robust model\n", + "# @title Train adversirially robust model\n", "\n", "# model_robust = Net().to(args.device)\n", "# optimizer = optim.Adadelta(model_robust.parameters(), lr=args.lr)\n", @@ -1513,7 +1513,7 @@ "\n", "The color-coded matrix shows the dot product similarity between activations for the training images (rows) and test images (columns)--yellow means that the two images are highly similar based on the dot product of the activations for those images, and dark blue means the two images are highly dissimilar. The goal of this exercise is to explore how the predicted leaning direction of the test stimuli is determined by your leaning ratings of the training stimuli, and the similarity of the training and test stimuli.\n", "\n", - "1) Using the matrix, find training and test images that are highly similar and play around with the rating of the training image. How much does the predicted learning rating for the test image change? Try this for a few different pairs.\n", + "1) Using the matrix, find training and test images that are highly similar and play around with the rating of the training image. How much does the predicted leaning rating for the test image change? Try this for a few different pairs.\n", "\n", "2) Now find a highly dissimilar pair and play with the rating. How much does the predicted leaning of the test image change? Try this for a few different pairs.\n", "\n", @@ -1742,7 +1742,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial2.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial2.ipynb index d788fd7be..83bdb20b0 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial2.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial2.ipynb @@ -1698,7 +1698,7 @@ "- Characterized the computation that happens across different layers of a network as a path, with each step changing the geometry of the representation to go from input pixels to target labels\n", "- Examined the representational geometry paths for different model architectures and different inputs and learned how to interpret them\n", "\n", - "We used this method to examine how models trained on adversarial stimulu (vs control) differentially treat inputs that are both normal and adversarial. We saw that the category / class level similarity structure, which was different for the standard model on adversarial stimuli, resulting in lower accuracies, actually has a divergent path during the conversion from input data to output labels. This is another link into the idea of **similarity** as a lens that helps us understand **generalization**." + "We used this method to examine how models trained on adversarial stimuli (vs control) differentially treat inputs that are both normal and adversarial. We saw that the category / class level similarity structure, which was different for the standard model on adversarial stimuli, resulting in lower accuracies, actually has a divergent path during the conversion from input data to output labels. This is another link into the idea of **similarity** as a lens that helps us understand **generalization**." ] } ], @@ -1732,7 +1732,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial3.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial3.ipynb index 4745fa409..2a9385755 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial3.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial3.ipynb @@ -1270,7 +1270,7 @@ "execution": {} }, "source": [ - "## Loading fMRI patterns from the NSD datset" + "## Loading fMRI patterns from the Natural Scenes Dataset" ] }, { @@ -1279,7 +1279,7 @@ "execution": {} }, "source": [ - "Let's now load the fMRI patterns from the NSD dataset for these 90 images.\n", + "Let's now load the fMRI patterns from NSD for these 90 images.\n", "We have pre-extracted the patterns, so we just need to load Numpy arrays from the `.npy` files." ] }, @@ -2362,7 +2362,7 @@ "source": [ "# The Big Picture\n", "\n", - "Generalization can arise across multiple dimensions, whether that be generalization of an experiment to a new set of subjects or whether a new set of stimuli generalize to the same subjects. More likely, we would want to know how much an experiment would generalize to novel subjects across novel stimuli. We can test these ideas statistically by using the bootstreap method in statistics. This notebook highlights some issues with naive approaches to statistics when assessing generalization in this way. We explored the 2-factor bootstrap method and used a toolbox that explicitly takes care of the calculation so that we don't overestimate the variance involved. It's important to be aware of factors of generalization and how multiple overlapping factors might interact." + "Generalization can arise across multiple dimensions, whether that be generalization of an experiment to a new set of subjects or whether a new set of stimuli generalize to the same subjects. More likely, we would want to know how much an experiment would generalize to novel subjects across novel stimuli. We can test these ideas statistically by using the bootstrap method in statistics. This notebook highlights some issues with naive approaches to statistics when assessing generalization in this way. We explored the 2-factor bootstrap method and used a toolbox that explicitly takes care of the calculation so that we don't overestimate the variance involved. It's important to be aware of factors of generalization and how multiple overlapping factors might interact." ] } ], @@ -2394,7 +2394,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial4.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial4.ipynb index 5f8510a44..f233b1f52 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial4.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial4.ipynb @@ -1280,7 +1280,7 @@ "source": [ "To obtain an unbiased estimate, we can split the data into independent sets and cross-validate the difference between patterns across the two sets (Allefeld and Haynes, 2014; Nili et al. 2014).\n", "\n", - "The cross-validated squared Euclidean distance–the so-called *crossclidian*–between two activity patterns $\\mathbf{b_i}$ and $\\mathbf{b_j}$ can be computed as: \n", + "The cross-validated squared Euclidean distance–the so-called *crossclidean*–between two activity patterns $\\mathbf{b_i}$ and $\\mathbf{b_j}$ can be computed as: \n", "\n", "$$d^2_{\\text{Euclidean, cross-validated}}=(\\mathbf{b_i} - \\mathbf{b_j})_\\text{train}(\\mathbf{b_i} - \\mathbf{b_j})_\\text{test}^T$$\n", "\n", @@ -1571,7 +1571,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial5.ipynb b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial5.ipynb index 191d2f283..05ada8b3f 100644 --- a/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial5.ipynb +++ b/tutorials/W1D3_ComparingArtificialAndBiologicalNetworks/student/W1D3_Tutorial5.ipynb @@ -2185,9 +2185,9 @@ "\n", "# Intro\n", "\n", - "Welcome to Tutorial 5 of Day 3 (W1D3) of the NeuroAI course. In this tutorial we are going to look at an exciting method that measures similarity from a slightly different perspective, a temporal one. The prior methods we have looked at were centeed around geometry and spatial representations, where we looked at metrics such as the Euclidean and Mahalanobis distance metrics. However, one thing we often want to study in neuroscience and in AI separately - is the temporal domain. Even more so in our own field of NeuroAI, we often deal with time series of neuronal / biological recordings. One thing you should already have a broad level of awareness of is that end structures can end up looking the same even though the paths taken to arrive at those end structures were very different.\n", + "Welcome to Tutorial 5 of Day 3 (W1D3) of the NeuroAI course. The prior methods we have looked at so far were centered around geometry and spatial representations, where we looked at metrics such as the Euclidean and Mahalanobis distance metrics. In this tutorial we are going to look at an exciting method that measures similarity from a slightly different perspective - a temporal one. This is very important in our field of NeuroAI as we often deal with time series of neuronal / biological recordings. One thing you should already be aware of is the fact that geometric plots of temporal data can end up looking the same even though the paths taken to arrive at those end structures are very different.\n", "\n", - "In NeuroAI, we're often confronted with systems that seem to have some sort of overlap and we want to study whether this implies there is a shared computation pairs up with the shared task (we looked at this in detail yesterday in our *Comparing Tasks* day). Today, we will begin by watching a short intro video by Mitchell Ostrow, who will describe his method to compare representations over temporal sequences (the method is called Dynamic Similarity Analysis). Then we are going to introduce three simple dynamical systems and we will explore them from the perspective of Dynamic Similarity Analysis and also describe the conceptual relationship to Representational Similarity Analysis. You will have a short coding exercise on the topic of temporal similarity analysis on three different types of trajectories. \n", + "In NeuroAI, we're often confronted with systems that seem to have some sort of overlap and we want to study whether this implies there is a shared computation pairs up with the shared task (we looked at this in detail yesterday in the day on *Comparing Tasks*). Today, we will watch a short intro video by Mitchell Ostrow, who will describe a method he devised to compare representations of temporal sequences (the method is called *Dynamic Similarity Analysis*). Then we are going to introduce three simple dynamical systems and we will explore them from the perspective of Dynamic Similarity Analysis and also describe the conceptual relationship to Representational Similarity Analysis. You will have a short coding exercise on the topic of temporal similarity analysis on three different types of trajectories. \n", "\n", "At the end of the tutorial, we will finally look at a further aspect of temporal sequences using RNNs. This is an adaptation of the ideas introduced in Tutorial 2 but now based around recurrent representations from RNNs. We hope you enjoy this tutorial today and that it gets you thinking not just what similarity values mean, but which ones are appropriate (here, from a spatial or temporal perspective). We aim to continually expand the tools necessary in the NeuroAI researcher's toolkit. Complementary tools, when applicable, can often tell a far richer story than just using a single method." ] @@ -2322,6 +2322,33 @@ "trajectory_walk = trajectory" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d4091b9", + "metadata": { + "execution": {} + }, + "outputs": [], + "source": [ + "# Plot the trajectory\n", + "fig, axes = plt.subplots(1,3, figsize=(10, 4))\n", + "\n", + "axes[0].plot(trajectory_circle[:, 0], trajectory_circle[:, 1])\n", + "axes[0].set_title(\"Circle\")\n", + "axes[0].set_xlabel(\"X\")\n", + "axes[0].set_ylabel(\"Y\")\n", + "axes[1].plot(trajectory_oval[:, 0], trajectory_oval[:, 1])\n", + "axes[1].set_title(\"Oval\")\n", + "axes[1].set_xlabel(\"X\")\n", + "axes[1].set_ylabel(\"Y\")\n", + "axes[2].plot(trajectory_walk[:, 0], trajectory_walk[:, 1])\n", + "axes[2].set_title(\"2D Random Walk\")\n", + "axes[2].set_xlabel(\"X\")\n", + "axes[2].set_ylabel(\"Y\")\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "id": "113a0dee", @@ -2329,9 +2356,9 @@ "execution": {} }, "source": [ - "Can you see how the spatial / geometric similarity of `R-Walk` and `Oval` are more similar, but the oscillations during the temporal sequence are shared between `Circle` and `Oval`? Let's run Dynamic Similarity Analysis on these temporal sequences and see what scores are returned.\n", + "Can you see how the spatial / geometric similarity of `Random Walk` and `Oval` are quite similar? Can you also observe that the `Circle` and `Oval` trajectories contain similar oscillatory patterns? What we mean by similarity can be viewed through different lenses: a spatial/geometric shape-based one, and another temporal one that considers how the sequences **pattern together**. Let's run Dynamic Similarity Analysis on these temporal sequences and explore the similarity values to further get a grasp on this difference.\n", "\n", - "We calcularted `trajectory_oval` and `trajectory_circle` above, so let's plug these into the `DSA` function imported earlier (in the helper function cell) and see what the similarity score is." + "We calculated `trajectory_oval` and `trajectory_circle` above, so let's plug these into the `DSA` function imported earlier (in the helper function cell) and see what the similarity score is." ] }, { @@ -2731,7 +2758,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb b/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb index 84746351a..53e28526e 100644 --- a/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb +++ b/tutorials/W1D5_Microcircuits/W1D5_Tutorial1.ipynb @@ -3262,7 +3262,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb b/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb index 195569c39..eb544ff14 100644 --- a/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb +++ b/tutorials/W1D5_Microcircuits/W1D5_Tutorial2.ipynb @@ -2969,7 +2969,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb b/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb index 5ac3b86cf..dfe89f446 100644 --- a/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb +++ b/tutorials/W1D5_Microcircuits/W1D5_Tutorial3.ipynb @@ -2374,7 +2374,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial1.ipynb b/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial1.ipynb index 8484437e6..e8f7b5162 100644 --- a/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial1.ipynb +++ b/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial1.ipynb @@ -3238,7 +3238,7 @@ "source": [ "# The Big Picture\n", "\n", - "The main message we would like you to take away from this tutorial is that sparsity has numerous advantageous properties for representing computation in the brain and in AI models. We know the brain likely uses this principle extensively. The mechanisms to measure and induce sparsity invcomputational models of neuroscience and AI are important and we hope you have gained an idea of how you might think about applications of sparsity in the future.\n", + "The main message we would like you to take away from this tutorial is that sparsity has numerous advantageous properties for representing computation in the brain and in AI models. We know the brain likely uses this principle extensively. The mechanisms to measure and induce sparsity in computational models of neuroscience and AI are important and we hope you have gained an idea of how you might think about applications of sparsity in the future.\n", "\n", "In the next tutorial, we will look at another essential operation to be realized in brains & machines - normalization. If you have time at the end of this day's tutorials, we have also included some further bonus material that covers the interesting application of spatial sparsity. If you're running low on time, please concentrate on the other tutorials and come back to the bonus material at a more convenient time." ] @@ -3272,7 +3272,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial2.ipynb b/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial2.ipynb index 5a1a3a880..19f12c2ca 100644 --- a/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial2.ipynb +++ b/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial2.ipynb @@ -2034,7 +2034,7 @@ "\n", "#################################################\n", "## TODO: Implement the normalization example equation ##\n", - "# Fill remove the following line of code one you have completed the exercise:\n", + "# Fill out and remove the following line of code one you have completed the exercise:\n", "raise NotImplementedError(\"Student exercise: choose your parameters values.\")\n", "#################################################\n", "\n", @@ -2977,7 +2977,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial3.ipynb b/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial3.ipynb index a2300a9a0..f7779cedd 100644 --- a/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial3.ipynb +++ b/tutorials/W1D5_Microcircuits/instructor/W1D5_Tutorial3.ipynb @@ -42,7 +42,7 @@ "\n", "By the end of this tutorial, we aim to:\n", "\n", - "1. Learn how the brain and AI systems implemention attention\n", + "1. Learn how the brain and AI systems implement attention\n", "\n", "2. Understand how multiplicative interactions allow flexible gating of information\n", "\n", @@ -212,7 +212,7 @@ " plt.subplot(1, 2, 1)\n", " plt.plot(t_loss, label=\"Training loss\", color=\"red\")\n", " if v_loss is not None:\n", - " # plt.plot(v_loss, label=\"Valididation loss\", color=\"blue\")\n", + " # plt.plot(v_loss, label=\"Validation loss\", color=\"blue\")\n", " plt.scatter(len(t_loss)-1, v_loss, label=\"Validation loss\", color=\"blue\", marker=\"*\")\n", " # plt.text(len(t_loss)-1, v_loss, f\"{v_loss:.3f}\", va=\"bottom\", ha=\"right\")\n", " plt.yscale(\"log\")\n", @@ -2080,7 +2080,7 @@ "B_t_mlp = 1000 # batch size for training (number of training samples)\n", "n_epochs = 100 # number of epochs\n", "s_sparse = sparse_dense[0] # dense\n", - "hidden_layers = [512] # the number of hidden units in }each layer [H1, H2, ...]\n", + "hidden_layers = [512] # the number of hidden units in each layer [H1, H2, ...]\n", "kind = \"MLP\"\n", "\n", "mlp_model = BinaryMLP(context_length, hidden_layers, 1) # MLP model\n", @@ -2154,7 +2154,7 @@ "embed_dim = 2 # embedding dimension\n", "kind = \"SAT\"\n", "\n", - "sat_model_s = SelfAttention(context_length, embed_dim) # selt-attention transformer\n", + "sat_model_s = SelfAttention(context_length, embed_dim) # self-attention transformer\n", "data_gen = s_Sparse_AND(context_length, s_sparse)\n", "results_sat_s = make_train(sat_model_s, data_gen, B_t_sat, B_valid, n_epochs, DEVICE, kind, verbose=True, etta=1e-2)" ] @@ -2184,7 +2184,7 @@ "embed_dim = 2 # embedding dimension\n", "kind = \"SAT\"\n", "\n", - "sat_model_d = SelfAttention(context_length, embed_dim) # selt-attention transformer\n", + "sat_model_d = SelfAttention(context_length, embed_dim) # self-attention transformer\n", "data_gen = s_Sparse_AND(context_length, s_sparse)\n", "results_sat_d = make_train(sat_model_d, data_gen, B_t_sat, B_valid, n_epochs, DEVICE, kind, verbose=True, etta=1e-2)" ] @@ -2378,7 +2378,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial1.ipynb b/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial1.ipynb index 652baa3dc..91b2e1991 100644 --- a/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial1.ipynb +++ b/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial1.ipynb @@ -3148,7 +3148,7 @@ "source": [ "# The Big Picture\n", "\n", - "The main message we would like you to take away from this tutorial is that sparsity has numerous advantageous properties for representing computation in the brain and in AI models. We know the brain likely uses this principle extensively. The mechanisms to measure and induce sparsity invcomputational models of neuroscience and AI are important and we hope you have gained an idea of how you might think about applications of sparsity in the future.\n", + "The main message we would like you to take away from this tutorial is that sparsity has numerous advantageous properties for representing computation in the brain and in AI models. We know the brain likely uses this principle extensively. The mechanisms to measure and induce sparsity in computational models of neuroscience and AI are important and we hope you have gained an idea of how you might think about applications of sparsity in the future.\n", "\n", "In the next tutorial, we will look at another essential operation to be realized in brains & machines - normalization. If you have time at the end of this day's tutorials, we have also included some further bonus material that covers the interesting application of spatial sparsity. If you're running low on time, please concentrate on the other tutorials and come back to the bonus material at a more convenient time." ] @@ -3182,7 +3182,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial2.ipynb b/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial2.ipynb index f3293a3af..e0bde1c2f 100644 --- a/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial2.ipynb +++ b/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial2.ipynb @@ -1954,7 +1954,7 @@ "\n", "#################################################\n", "## TODO: Implement the normalization example equation ##\n", - "# Fill remove the following line of code one you have completed the exercise:\n", + "# Fill out and remove the following line of code one you have completed the exercise:\n", "raise NotImplementedError(\"Student exercise: choose your parameters values.\")\n", "#################################################\n", "\n", @@ -2875,7 +2875,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial3.ipynb b/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial3.ipynb index 35ea86f80..ec7dd6437 100644 --- a/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial3.ipynb +++ b/tutorials/W1D5_Microcircuits/student/W1D5_Tutorial3.ipynb @@ -42,7 +42,7 @@ "\n", "By the end of this tutorial, we aim to:\n", "\n", - "1. Learn how the brain and AI systems implemention attention\n", + "1. Learn how the brain and AI systems implement attention\n", "\n", "2. Understand how multiplicative interactions allow flexible gating of information\n", "\n", @@ -212,7 +212,7 @@ " plt.subplot(1, 2, 1)\n", " plt.plot(t_loss, label=\"Training loss\", color=\"red\")\n", " if v_loss is not None:\n", - " # plt.plot(v_loss, label=\"Valididation loss\", color=\"blue\")\n", + " # plt.plot(v_loss, label=\"Validation loss\", color=\"blue\")\n", " plt.scatter(len(t_loss)-1, v_loss, label=\"Validation loss\", color=\"blue\", marker=\"*\")\n", " # plt.text(len(t_loss)-1, v_loss, f\"{v_loss:.3f}\", va=\"bottom\", ha=\"right\")\n", " plt.yscale(\"log\")\n", @@ -2014,7 +2014,7 @@ "B_t_mlp = 1000 # batch size for training (number of training samples)\n", "n_epochs = 100 # number of epochs\n", "s_sparse = sparse_dense[0] # dense\n", - "hidden_layers = [512] # the number of hidden units in }each layer [H1, H2, ...]\n", + "hidden_layers = [512] # the number of hidden units in each layer [H1, H2, ...]\n", "kind = \"MLP\"\n", "\n", "mlp_model = BinaryMLP(context_length, hidden_layers, 1) # MLP model\n", @@ -2088,7 +2088,7 @@ "embed_dim = 2 # embedding dimension\n", "kind = \"SAT\"\n", "\n", - "sat_model_s = SelfAttention(context_length, embed_dim) # selt-attention transformer\n", + "sat_model_s = SelfAttention(context_length, embed_dim) # self-attention transformer\n", "data_gen = s_Sparse_AND(context_length, s_sparse)\n", "results_sat_s = make_train(sat_model_s, data_gen, B_t_sat, B_valid, n_epochs, DEVICE, kind, verbose=True, etta=1e-2)" ] @@ -2118,7 +2118,7 @@ "embed_dim = 2 # embedding dimension\n", "kind = \"SAT\"\n", "\n", - "sat_model_d = SelfAttention(context_length, embed_dim) # selt-attention transformer\n", + "sat_model_d = SelfAttention(context_length, embed_dim) # self-attention transformer\n", "data_gen = s_Sparse_AND(context_length, s_sparse)\n", "results_sat_d = make_train(sat_model_d, data_gen, B_t_sat, B_valid, n_epochs, DEVICE, kind, verbose=True, etta=1e-2)" ] @@ -2312,7 +2312,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb b/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb index af39907cc..1a314fe86 100644 --- a/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb +++ b/tutorials/W2D1_Macrocircuits/W2D1_Tutorial1.ipynb @@ -2059,7 +2059,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D1_Macrocircuits/instructor/W2D1_Tutorial1.ipynb b/tutorials/W2D1_Macrocircuits/instructor/W2D1_Tutorial1.ipynb index d285973fa..11de1d519 100644 --- a/tutorials/W2D1_Macrocircuits/instructor/W2D1_Tutorial1.ipynb +++ b/tutorials/W2D1_Macrocircuits/instructor/W2D1_Tutorial1.ipynb @@ -154,7 +154,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -203,7 +203,7 @@ " Inputs:\n", " - Es_train (np.ndarray): loss values.\n", " - X_test (np.ndarray): test input data.\n", - " - y_test (np.ndarray): test outpu data.\n", + " - y_test (np.ndarray): test output data.\n", " \"\"\"\n", " with plt.xkcd():\n", " fig, axes = plt.subplots(1,2,figsize=(10,5))\n", @@ -363,7 +363,7 @@ "\n", "# Section 1: Introduction\n", "\n", - "In this section we will write some Python functions to help build some neural networks that will allow us to effectively examine the expressiity of shallow versus deep networks. We will specifically look at this issue through the lens of the universal approximation theorem and ask ourselves what deeper neural networks give us in terms of the ability of those models to capture a wide range of functions. As you will recall from today's introduction video, the idea of each layer being able to fold activations via an activation function increases the ability to model nonlinear functions much more effectively. After going through this tutorial, this idea will hopefully be much clearer.\n", + "In this section we will write some Python functions to help build some neural networks that will allow us to effectively examine the expressivity of shallow versus deep networks. We will specifically look at this issue through the lens of the universal approximation theorem and ask ourselves what deeper neural networks give us in terms of the ability of those models to capture a wide range of functions. As you will recall from today's introduction video, the idea of each layer being able to fold activations via an activation function increases the ability to model nonlinear functions much more effectively. After going through this tutorial, this idea will hopefully be much clearer.\n", "\n", "By **shallow network**, we mean one with a very small number of layers (e.g. one). A shallow networks can be **wide** if it has many, many neurons in this layer, or it can be smaller, having only a limited number of neurons. In contrast, by **deep networks**, we refer to the number of layers in the network. It's important to keep in mind that the term **wide** in the terminology we will use specifically refers to *the number of neurons in a layer, not the number of layers in a network*. If we take a single layer in a shallow or a deep network, we can describe it as being **wide** if it has a very large number of neurons. " ] @@ -548,7 +548,7 @@ "\n", "def make_MLP(n_in, W, D, nonlin = 'tanh'):\n", " \"\"\"\n", - " Create `nn.Sequnetial()` fully-connected model in pytorch with the given parameters.\n", + " Create `nn.Sequential()` fully-connected model in pytorch with the given parameters.\n", "\n", " Inputs:\n", " - n_in (int): input dimension.\n", @@ -609,7 +609,7 @@ " Inputs:\n", " - n_in (int): input dimension.\n", " - W (int): width of the network.\n", - " - D (int): depth if the network.\n", + " - D (int): depth of the network.\n", "\n", " Outputs:\n", " - num_params (int): number of parameters in the network.\n", @@ -646,7 +646,7 @@ " Inputs:\n", " - n_in (int): input dimension.\n", " - W (int): width of the network.\n", - " - D (int): depth if the network.\n", + " - D (int): depth of the network.\n", "\n", " Outputs:\n", " - num_params (int): number of parameters in the network.\n", @@ -2081,7 +2081,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_bc99a7f9.py b/tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_ab451c07.py similarity index 93% rename from tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_bc99a7f9.py rename to tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_ab451c07.py index 48182e84c..c9bd1a96a 100644 --- a/tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_bc99a7f9.py +++ b/tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_ab451c07.py @@ -6,7 +6,7 @@ def get_num_params(n_in,W,D): Inputs: - n_in (int): input dimension. - W (int): width of the network. - - D (int): depth if the network. + - D (int): depth of the network. Outputs: - num_params (int): number of parameters in the network. diff --git a/tutorials/W2D1_Macrocircuits/student/W2D1_Tutorial1.ipynb b/tutorials/W2D1_Macrocircuits/student/W2D1_Tutorial1.ipynb index ea644c2d5..cb43bf5f7 100644 --- a/tutorials/W2D1_Macrocircuits/student/W2D1_Tutorial1.ipynb +++ b/tutorials/W2D1_Macrocircuits/student/W2D1_Tutorial1.ipynb @@ -154,7 +154,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -203,7 +203,7 @@ " Inputs:\n", " - Es_train (np.ndarray): loss values.\n", " - X_test (np.ndarray): test input data.\n", - " - y_test (np.ndarray): test outpu data.\n", + " - y_test (np.ndarray): test output data.\n", " \"\"\"\n", " with plt.xkcd():\n", " fig, axes = plt.subplots(1,2,figsize=(10,5))\n", @@ -363,7 +363,7 @@ "\n", "# Section 1: Introduction\n", "\n", - "In this section we will write some Python functions to help build some neural networks that will allow us to effectively examine the expressiity of shallow versus deep networks. We will specifically look at this issue through the lens of the universal approximation theorem and ask ourselves what deeper neural networks give us in terms of the ability of those models to capture a wide range of functions. As you will recall from today's introduction video, the idea of each layer being able to fold activations via an activation function increases the ability to model nonlinear functions much more effectively. After going through this tutorial, this idea will hopefully be much clearer.\n", + "In this section we will write some Python functions to help build some neural networks that will allow us to effectively examine the expressivity of shallow versus deep networks. We will specifically look at this issue through the lens of the universal approximation theorem and ask ourselves what deeper neural networks give us in terms of the ability of those models to capture a wide range of functions. As you will recall from today's introduction video, the idea of each layer being able to fold activations via an activation function increases the ability to model nonlinear functions much more effectively. After going through this tutorial, this idea will hopefully be much clearer.\n", "\n", "By **shallow network**, we mean one with a very small number of layers (e.g. one). A shallow networks can be **wide** if it has many, many neurons in this layer, or it can be smaller, having only a limited number of neurons. In contrast, by **deep networks**, we refer to the number of layers in the network. It's important to keep in mind that the term **wide** in the terminology we will use specifically refers to *the number of neurons in a layer, not the number of layers in a network*. If we take a single layer in a shallow or a deep network, we can describe it as being **wide** if it has a very large number of neurons. " ] @@ -548,7 +548,7 @@ "\n", "def make_MLP(n_in, W, D, nonlin = 'tanh'):\n", " \"\"\"\n", - " Create `nn.Sequnetial()` fully-connected model in pytorch with the given parameters.\n", + " Create `nn.Sequential()` fully-connected model in pytorch with the given parameters.\n", "\n", " Inputs:\n", " - n_in (int): input dimension.\n", @@ -609,7 +609,7 @@ " Inputs:\n", " - n_in (int): input dimension.\n", " - W (int): width of the network.\n", - " - D (int): depth if the network.\n", + " - D (int): depth of the network.\n", "\n", " Outputs:\n", " - num_params (int): number of parameters in the network.\n", @@ -634,7 +634,7 @@ "execution": {} }, "source": [ - "[*Click for solution*](https://github.com/neuromatch/NeuroAI_Course/tree/main/tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_bc99a7f9.py)\n", + "[*Click for solution*](https://github.com/neuromatch/NeuroAI_Course/tree/main/tutorials/W2D1_Macrocircuits/solutions/W2D1_Tutorial1_Solution_ab451c07.py)\n", "\n" ] }, @@ -1842,7 +1842,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb b/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb index ef850bd98..eb6569d93 100644 --- a/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb +++ b/tutorials/W2D3_Microlearning/W2D3_Tutorial1.ipynb @@ -2249,7 +2249,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D3_Microlearning/instructor/W2D3_Tutorial1.ipynb b/tutorials/W2D3_Microlearning/instructor/W2D3_Tutorial1.ipynb index 8a54af7f4..23ebb4cde 100644 --- a/tutorials/W2D3_Microlearning/instructor/W2D3_Tutorial1.ipynb +++ b/tutorials/W2D3_Microlearning/instructor/W2D3_Tutorial1.ipynb @@ -631,7 +631,7 @@ "---\n", "# Section 1: Weight Perturbation\n", "\n", - "In this section, we will start exploring more bioligcally plausible learning algorithms that are known to exhibit increased variance, specifically the *weight perturbation* algorithm." + "In this section, we will start exploring more biologically plausible learning algorithms that are known to exhibit increased variance, specifically the *weight perturbation* algorithm." ] }, { @@ -1800,7 +1800,7 @@ "\n", "*Estimated timing to here from start of tutorial: 1 hour 20 minutes*\n", "\n", - "This section presents the last method for this day, which is a method that leans towards exhibiting more biased solutions than ones that exhibit higher-variance solutions. Specifically, the metho we are going to look at today is known as the Kolen-Pollack method. While in the previous section we looked at Feedback Alignment, in that case, we hinted at the fact that this works well for simple tasks. However, feedback alignment, as will be shown below, does not do very well in tasks of the level of complexity we are typically interested in. The Kolen-Pollack method attempts to fix some of the problems of Feedback Alignment in order to be better at more complex and interesting tasks." + "This section presents the last method for this day, which is a method that leans towards exhibiting more biased solutions than ones that exhibit higher-variance solutions. Specifically, the method we are going to look at today is known as the Kolen-Pollack method. While in the previous section we looked at Feedback Alignment, in that case, we hinted at the fact that this works well for simple tasks. However, feedback alignment, as will be shown below, does not do very well in tasks of the level of complexity we are typically interested in. The Kolen-Pollack method attempts to fix some of the problems of Feedback Alignment in order to be better at more complex and interesting tasks." ] }, { @@ -2219,7 +2219,7 @@ "\n", "While the summary above recaps the main takeaway points of today's tutorial, let's also stop and think a bit bigger. Let's think back to the opening section of today's tutorial about biological plausibility and what it means for both the future of neuroscience and AI. As we have seen today, learning in brains is restricted by the directional nature of information transfer and biologically plausible learning algorithms are those algorithms that better mirror these properties. This is where we run into a dilemma: on the one hand in standard AI training, backpropagation is so successful because we get exactly the correct set of error signals to make updates to our weights. This has worked well in AI, but this method in the current set up might lead to a wall that we cannot break and extend into significant further advances in AI. This is also an issue working in neuroscience, where AI models are often used as *in silico* representations to model biological processes or as candidate representational spaces to model different stimuli. \n", "\n", - "The main idea we want you to take away from today is to be aware of alternate approaches that better mirror computational constraints from a system (the brain) that we know in many ways is better than frontier / state of the art AI models. The exact techniques are only candidates, but there is a wide belief that the NeuroAI community might be in an excellent position to study and propose learning algortihms that are not only biologically plausible, but also show promise as future widely-adopted learning algorithms in large-scale deep learning networks.\n", + "The main idea we want you to take away from today is to be aware of alternate approaches that better mirror computational constraints from a system (the brain) that we know in many ways is better than frontier / state of the art AI models. The exact techniques are only candidates, but there is a wide belief that the NeuroAI community might be in an excellent position to study and propose learning algorithms that are not only biologically plausible, but also show promise as future widely-adopted learning algorithms in large-scale deep learning networks.\n", "\n", "We hope this idea sticks around in your mind and that you have found today's tutorial insightful.\n", "\n", @@ -2255,7 +2255,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D3_Microlearning/student/W2D3_Tutorial1.ipynb b/tutorials/W2D3_Microlearning/student/W2D3_Tutorial1.ipynb index ffb038512..33ce26a57 100644 --- a/tutorials/W2D3_Microlearning/student/W2D3_Tutorial1.ipynb +++ b/tutorials/W2D3_Microlearning/student/W2D3_Tutorial1.ipynb @@ -631,7 +631,7 @@ "---\n", "# Section 1: Weight Perturbation\n", "\n", - "In this section, we will start exploring more bioligcally plausible learning algorithms that are known to exhibit increased variance, specifically the *weight perturbation* algorithm." + "In this section, we will start exploring more biologically plausible learning algorithms that are known to exhibit increased variance, specifically the *weight perturbation* algorithm." ] }, { @@ -1750,7 +1750,7 @@ "\n", "*Estimated timing to here from start of tutorial: 1 hour 20 minutes*\n", "\n", - "This section presents the last method for this day, which is a method that leans towards exhibiting more biased solutions than ones that exhibit higher-variance solutions. Specifically, the metho we are going to look at today is known as the Kolen-Pollack method. While in the previous section we looked at Feedback Alignment, in that case, we hinted at the fact that this works well for simple tasks. However, feedback alignment, as will be shown below, does not do very well in tasks of the level of complexity we are typically interested in. The Kolen-Pollack method attempts to fix some of the problems of Feedback Alignment in order to be better at more complex and interesting tasks." + "This section presents the last method for this day, which is a method that leans towards exhibiting more biased solutions than ones that exhibit higher-variance solutions. Specifically, the method we are going to look at today is known as the Kolen-Pollack method. While in the previous section we looked at Feedback Alignment, in that case, we hinted at the fact that this works well for simple tasks. However, feedback alignment, as will be shown below, does not do very well in tasks of the level of complexity we are typically interested in. The Kolen-Pollack method attempts to fix some of the problems of Feedback Alignment in order to be better at more complex and interesting tasks." ] }, { @@ -2142,7 +2142,7 @@ "\n", "While the summary above recaps the main takeaway points of today's tutorial, let's also stop and think a bit bigger. Let's think back to the opening section of today's tutorial about biological plausibility and what it means for both the future of neuroscience and AI. As we have seen today, learning in brains is restricted by the directional nature of information transfer and biologically plausible learning algorithms are those algorithms that better mirror these properties. This is where we run into a dilemma: on the one hand in standard AI training, backpropagation is so successful because we get exactly the correct set of error signals to make updates to our weights. This has worked well in AI, but this method in the current set up might lead to a wall that we cannot break and extend into significant further advances in AI. This is also an issue working in neuroscience, where AI models are often used as *in silico* representations to model biological processes or as candidate representational spaces to model different stimuli. \n", "\n", - "The main idea we want you to take away from today is to be aware of alternate approaches that better mirror computational constraints from a system (the brain) that we know in many ways is better than frontier / state of the art AI models. The exact techniques are only candidates, but there is a wide belief that the NeuroAI community might be in an excellent position to study and propose learning algortihms that are not only biologically plausible, but also show promise as future widely-adopted learning algorithms in large-scale deep learning networks.\n", + "The main idea we want you to take away from today is to be aware of alternate approaches that better mirror computational constraints from a system (the brain) that we know in many ways is better than frontier / state of the art AI models. The exact techniques are only candidates, but there is a wide belief that the NeuroAI community might be in an excellent position to study and propose learning algorithms that are not only biologically plausible, but also show promise as future widely-adopted learning algorithms in large-scale deep learning networks.\n", "\n", "We hope this idea sticks around in your mind and that you have found today's tutorial insightful.\n", "\n", @@ -2178,7 +2178,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb index 9859acb2a..fddcabf24 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial1.ipynb @@ -984,7 +984,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb index 14074bf52..78d60d232 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial2.ipynb @@ -910,7 +910,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb index 829a3a559..465249fc3 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial4.ipynb @@ -1778,7 +1778,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb index 6f0578be4..b87d410ce 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial5.ipynb @@ -1620,7 +1620,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial1.ipynb b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial1.ipynb index 370066489..09d86cd9f 100644 --- a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial1.ipynb +++ b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial1.ipynb @@ -483,7 +483,7 @@ "\n", "###################################################################\n", "## Fill out the following then remove\n", - "raise NotImplementedError(\"Student exercise: need to normalized days and to fit model with it\")\n", + "raise NotImplementedError(\"Student exercise: need to normalize days and to fit model with it\")\n", "###################################################################\n", "\n", "#apply normalization for days\n", @@ -492,7 +492,7 @@ "summer_days_test_norm = (summer_days_test - ...) / ...\n", "\n", "#define MLP\n", - "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is small amount of data\n", + "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is a small amount of data\n", "\n", "#train MLP\n", "model.fit(..., ...)\n", @@ -526,7 +526,7 @@ "summer_days_test_norm = (summer_days_test - summer_days_mean) / summer_days_std\n", "\n", "#define MLP\n", - "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is small amount of data\n", + "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is a small amount of data\n", "\n", "#train MLP\n", "model.fit(summer_days_train_norm, summer_prices_train)\n", @@ -954,7 +954,7 @@ "\n", "Distribution shifts are a huge issue in modern ML systems. Awareness of the fundamental idea behind how these shifts can happen is increasingly important, the more that these systems take on roles that impact systems that we interact with in our daily lives. During COVID-19, product replenishment systems failed spectacularly because there was an underlying shift (panic buying of certain items) that the model did not expect and this caused a huge problem for systems that relied on statistical predictions in the company pipeline.\n", "\n", - "In NeuroAI, the distribution shifts can happen in numerous places. For example, training a model on sets of neurons that belong to different brain areas or perhaps the same distribution of neurons that differ due to a confounding third factor, that renders the training and test distribution of features to be different. Awareness of potential distribution shifts is incredibly important and should be something systems are continuosly monitoring. NeuroAI currently lags behind in its adoption of evaluations that monitor these kinds of issues. Our goal is to bring this attention more to the forefront so that in your careers as NeuroAI practioners, you are aware of the necessary factors that can affect the models you build.\n", + "In NeuroAI, the distribution shifts can happen in numerous places. For example, training a model on sets of neurons that belong to different brain areas or perhaps the same distribution of neurons that differ due to a confounding third factor, that renders the training and test distribution of features to be different. Awareness of potential distribution shifts is incredibly important and should be something systems are continously monitoring. NeuroAI currently lags behind in its adoption of evaluations that monitor these kinds of issues. Our goal is to bring this attention more to the forefront so that in your careers as NeuroAI practitioners, you are aware of the necessary factors that can affect the models you build.\n", "\n", "In the next tutorials, we are going to address the question of generalization—what are the techniques and methods to deal with poor generalization performance due to distribution shifts." ] @@ -988,7 +988,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial2.ipynb b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial2.ipynb index 94817e1b7..fcd9f67b5 100644 --- a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial2.ipynb +++ b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial2.ipynb @@ -43,7 +43,7 @@ "\n", "*Estimated timing of tutorial: 25 minutes*\n", "\n", - "In this tutorial, we wil discover how further training on new data or tasks causes forgetting of past tasks. This is like the idea of learning a new idea by replacing an old one. This is a huge issue with the current AI models and deep neural networks and a very active area of research in the ML community. We are going to explore the problem in more detail and investigate some further issues connected to this idea, for example, how different learning schedules impact performance." + "In this tutorial, we will discover how further training on new data or tasks causes forgetting of past tasks. This is like the idea of learning a new idea by replacing an old one. This is a huge issue with the current AI models and deep neural networks and a very active area of research in the ML community. We are going to explore the problem in more detail and investigate some further issues connected to this idea, for example, how different learning schedules impact performance." ] }, { @@ -194,7 +194,7 @@ " - autumn_r_squared (list): List containing the R-squared values for the autumn season at each epoch.\n", " \"\"\"\n", "\n", - " print(f\"Summmer final R-squared value is: {summer_r_squared[-1]:.02f}\")\n", + " print(f\"Summer final R-squared value is: {summer_r_squared[-1]:.02f}\")\n", " print(f\"Autumn final R-squared value is: {autumn_r_squared[-1]:.02f}\")\n", "\n", "\n", @@ -477,7 +477,7 @@ "execution": {} }, "source": [ - "Notice how disruptive the change is for R-squared values — even one iteration is enough to drastically alter the performance. The model has learned to perform perfectly on the autumn data, while it completely messes up predictions for the summer days. Indeed, the model forgot the relationships for the old data and lost its predictive power while training on the new dataset. In the next section of the tutorial, we are going to explore a different approach—what if, instead of training sequentially, we train the model on both datasets together?" + "Notice how disruptive the change is for R-squared values — even one iteration is enough to drastically alter the performance. The model has learned to perform perfectly on the autumn data, while it completely disrupts predictions for the summer days. Indeed, the model forgot the relationships for the old data and lost its predictive power while training on the new dataset. In the next section of the tutorial, we are going to explore a different approach—what if, instead of training sequentially, we train the model on both datasets together?" ] }, { @@ -880,7 +880,7 @@ "source": [ "# The Big Picture\n", "\n", - "What causes catastrophic forgetting? If we train tasks continually (one after the other) and not in a joint fashion, it implies the overwriting of old knowledge (information) with new knowledge (information). That doesn't seem to happen in biological systems, so is there a lesson we can take from psychology and neuroscience to better handle catastrophic forgetting? Information seems to be distributed across all weights for this ovwerwriting to happen. Large LLM models have developed one solution, the so-called Mixture-of-Experts Model. This is where a routing mechanism decides what sections of a neural network become active for each tasks. Is that a viable solution? These models are gigantic and extremely computationally expensive. We think there is scope to be more brain-like without requiring such vast computational giants.\n", + "What causes catastrophic forgetting? If we train tasks continually (one after the other) and not in a joint fashion, it implies the overwriting of old knowledge (information) with new knowledge (information). That doesn't seem to happen in biological systems, so is there a lesson we can take from psychology and neuroscience to better handle catastrophic forgetting? Information seems to be distributed across all weights for this overwriting to happen. Large LLM models have developed one solution, the so-called Mixture-of-Experts Model. This is where a routing mechanism decides what sections of a neural network become active for each tasks. Is that a viable solution? These models are gigantic and extremely computationally expensive. We think there is scope to be more brain-like without requiring such vast computational giants.\n", "\n", "If you're interested in learning more, the topics we covered today are also often referred to as the **Stability-Plasticity Dilemma**. A search for that term will certainly bring you to many recent advances in exploring this idea. \n", "\n", @@ -916,7 +916,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial4.ipynb b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial4.ipynb index 3e193426f..ae34a51a7 100644 --- a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial4.ipynb +++ b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial4.ipynb @@ -159,7 +159,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -724,7 +724,7 @@ " return self.state\n", "\n", " def step(self, action):\n", - " \"\"\"Evaluate agent's perfromance, return reward and next observation.\"\"\"\n", + " \"\"\"Evaluate agent's performance, return reward and next observation.\"\"\"\n", " if self.state[action] == self.rewarded_digit:\n", " feedback = self.reward\n", " else:\n", @@ -1170,7 +1170,7 @@ " - num_tasks (int, default = 10): number of tasks to evaluate agent on.\n", " - num_gradient_steps (int, default = 25): number of gradient steps to perform.\n", " - num_trials (int, default = 6): number of times the agent is exposed to the environment per gradient step to be trained .\n", - " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happend during this phase).\n", + " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happened during this phase).\n", "\n", " Outputs:\n", " - score (int): total score.\n", @@ -1780,7 +1780,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial5.ipynb b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial5.ipynb index ec2aef229..3325b1aee 100644 --- a/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial5.ipynb +++ b/tutorials/W2D4_Macrolearning/instructor/W2D4_Tutorial5.ipynb @@ -161,7 +161,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -662,7 +662,7 @@ " return self.state\n", "\n", " def step(self, action):\n", - " \"\"\"Evaluate agent's perfromance, return reward, max reward (for tracking agent's performance) and next observation.\"\"\"\n", + " \"\"\"Evaluate agent's performance, return reward, max reward (for tracking agent's performance) and next observation.\"\"\"\n", " feedback = color_names_rewards[self.color_state[action]]\n", " max_feedback = np.max([color_names_rewards[self.color_state[action]], color_names_rewards[self.color_state[1 - action]]])\n", " self.update_state()\n", @@ -862,7 +862,7 @@ " log_probs.append(log_prob)\n", " entropy_term += entropy\n", "\n", - " #calculataing loss\n", + " #calculating loss\n", " Qval = 0\n", " Qvals = torch.zeros(len(rewards))\n", " for t in reversed(range(len(rewards))):\n", @@ -890,7 +890,7 @@ " - env (ChangingEnv): environment.\n", " - agent (ActorCritic): particular instance of Actor Critic agent to train.\n", " - mode (int, default = 1): mode of the environment.\n", - " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happend during this phase).\n", + " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happened during this phase).\n", "\n", " Outputs:\n", " - scores (list): rewards over all trials of evaluation.\n", @@ -1185,7 +1185,7 @@ "outputs": [], "source": [ "# @title Submit your feedback\n", - "content_review(f\"{feedback_prefix}_a2c_agent_in_changing_enviornment\")" + "content_review(f\"{feedback_prefix}_a2c_agent_in_changing_environment\")" ] }, { @@ -1622,7 +1622,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_0b85ba35.py b/tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_2040941d.py similarity index 95% rename from tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_0b85ba35.py rename to tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_2040941d.py index 048de0cdb..6e8f9fb56 100644 --- a/tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_0b85ba35.py +++ b/tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_2040941d.py @@ -12,7 +12,7 @@ summer_days_test_norm = (summer_days_test - summer_days_mean) / summer_days_std #define MLP -model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = "lbfgs") # LBFGS is better to use when there is small amount of data +model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = "lbfgs") # LBFGS is better to use when there is a small amount of data #train MLP 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z{ViV8Ra{d3o1TgpwS$4ob(%d&#!zqF$fAeteHWoM>#3^;dN=^a5OPn&+$GYA^2jQ2 z)`T}qgoF2WK)H7*Lb)%6I!P_guj^*_Lc@M?|2?i0DnH`#8lG(-Yv(ilO$EZf7kntM zaB^fMnTgL`86D;VkdJC3ZHkWG4HK)OW|O}Zq6C>ofjpPh?Q{INAD|{41-GbWMMXsd z8h3DV?n9D91Y4K^!mu9ZtVaBku&^5$@3W+B+C_*Ad>|xbTdw7&cM~#1aK82ZEK&2I za3O?4`u~VkZT&t3Jt*JFKBR+JQs1a{Y=Rao-dK+Sf|3&zk=f(H2R%GIMhHOxB~wYC zwcE4as;a*esEwzO$d6YxG)({E08b|L=cZ$`f#HX)S@#g3Mx$_F@Ye7QHn2!9h~2vs z$T=SEr!HO$A-3D6>t~+^Bh_2w!)YxeJ7>1wRrziz;z(lGCT0^86KJ|Au4S(_Mx$t(1h}87lT*q{wr;)`Wun(F{xbW@7PVe|NoF?{vT(t|BJ)7u5T30-O1&d852$z OOI1blRK^M8JO2a8i%&NI literal 0 HcmV?d00001 diff --git a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial1.ipynb b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial1.ipynb index 09cca803e..2e52566d3 100644 --- a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial1.ipynb +++ b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial1.ipynb @@ -467,7 +467,7 @@ "\n", "###################################################################\n", "## Fill out the following then remove\n", - "raise NotImplementedError(\"Student exercise: need to normalized days and to fit model with it\")\n", + "raise NotImplementedError(\"Student exercise: need to normalize days and to fit model with it\")\n", "###################################################################\n", "\n", "#apply normalization for days\n", @@ -476,7 +476,7 @@ "summer_days_test_norm = (summer_days_test - ...) / ...\n", "\n", "#define MLP\n", - "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is small amount of data\n", + "model = MLPRegressor(hidden_layer_sizes=(100, 100), max_iter=10000, random_state = 42, solver = \"lbfgs\") # LBFGS is better to use when there is a small amount of data\n", "\n", "#train MLP\n", "model.fit(..., ...)\n", @@ -492,7 +492,7 @@ "execution": {} }, "source": [ - "[*Click for solution*](https://github.com/neuromatch/NeuroAI_Course/tree/main/tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_0b85ba35.py)\n", + "[*Click for solution*](https://github.com/neuromatch/NeuroAI_Course/tree/main/tutorials/W2D4_Macrolearning/solutions/W2D4_Tutorial1_Solution_2040941d.py)\n", "\n" ] }, @@ -887,7 +887,7 @@ "\n", "Distribution shifts are a huge issue in modern ML systems. Awareness of the fundamental idea behind how these shifts can happen is increasingly important, the more that these systems take on roles that impact systems that we interact with in our daily lives. During COVID-19, product replenishment systems failed spectacularly because there was an underlying shift (panic buying of certain items) that the model did not expect and this caused a huge problem for systems that relied on statistical predictions in the company pipeline.\n", "\n", - "In NeuroAI, the distribution shifts can happen in numerous places. For example, training a model on sets of neurons that belong to different brain areas or perhaps the same distribution of neurons that differ due to a confounding third factor, that renders the training and test distribution of features to be different. Awareness of potential distribution shifts is incredibly important and should be something systems are continuosly monitoring. NeuroAI currently lags behind in its adoption of evaluations that monitor these kinds of issues. Our goal is to bring this attention more to the forefront so that in your careers as NeuroAI practioners, you are aware of the necessary factors that can affect the models you build.\n", + "In NeuroAI, the distribution shifts can happen in numerous places. For example, training a model on sets of neurons that belong to different brain areas or perhaps the same distribution of neurons that differ due to a confounding third factor, that renders the training and test distribution of features to be different. Awareness of potential distribution shifts is incredibly important and should be something systems are continously monitoring. NeuroAI currently lags behind in its adoption of evaluations that monitor these kinds of issues. Our goal is to bring this attention more to the forefront so that in your careers as NeuroAI practitioners, you are aware of the necessary factors that can affect the models you build.\n", "\n", "In the next tutorials, we are going to address the question of generalization—what are the techniques and methods to deal with poor generalization performance due to distribution shifts." ] @@ -921,7 +921,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial2.ipynb b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial2.ipynb index e1f017654..c66ada7ff 100644 --- a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial2.ipynb +++ b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial2.ipynb @@ -43,7 +43,7 @@ "\n", "*Estimated timing of tutorial: 25 minutes*\n", "\n", - "In this tutorial, we wil discover how further training on new data or tasks causes forgetting of past tasks. This is like the idea of learning a new idea by replacing an old one. This is a huge issue with the current AI models and deep neural networks and a very active area of research in the ML community. We are going to explore the problem in more detail and investigate some further issues connected to this idea, for example, how different learning schedules impact performance." + "In this tutorial, we will discover how further training on new data or tasks causes forgetting of past tasks. This is like the idea of learning a new idea by replacing an old one. This is a huge issue with the current AI models and deep neural networks and a very active area of research in the ML community. We are going to explore the problem in more detail and investigate some further issues connected to this idea, for example, how different learning schedules impact performance." ] }, { @@ -194,7 +194,7 @@ " - autumn_r_squared (list): List containing the R-squared values for the autumn season at each epoch.\n", " \"\"\"\n", "\n", - " print(f\"Summmer final R-squared value is: {summer_r_squared[-1]:.02f}\")\n", + " print(f\"Summer final R-squared value is: {summer_r_squared[-1]:.02f}\")\n", " print(f\"Autumn final R-squared value is: {autumn_r_squared[-1]:.02f}\")\n", "\n", "\n", @@ -458,7 +458,7 @@ "execution": {} }, "source": [ - "Notice how disruptive the change is for R-squared values — even one iteration is enough to drastically alter the performance. The model has learned to perform perfectly on the autumn data, while it completely messes up predictions for the summer days. Indeed, the model forgot the relationships for the old data and lost its predictive power while training on the new dataset. In the next section of the tutorial, we are going to explore a different approach—what if, instead of training sequentially, we train the model on both datasets together?" + "Notice how disruptive the change is for R-squared values — even one iteration is enough to drastically alter the performance. The model has learned to perform perfectly on the autumn data, while it completely disrupts predictions for the summer days. Indeed, the model forgot the relationships for the old data and lost its predictive power while training on the new dataset. In the next section of the tutorial, we are going to explore a different approach—what if, instead of training sequentially, we train the model on both datasets together?" ] }, { @@ -695,9 +695,9 @@ "\n", "*Example output:*\n", "\n", - "Solution hint\n", + "Solution hint\n", "\n", - "Solution hint\n", + "Solution hint\n", "\n" ] }, @@ -757,7 +757,7 @@ "source": [ "# The Big Picture\n", "\n", - "What causes catastrophic forgetting? If we train tasks continually (one after the other) and not in a joint fashion, it implies the overwriting of old knowledge (information) with new knowledge (information). That doesn't seem to happen in biological systems, so is there a lesson we can take from psychology and neuroscience to better handle catastrophic forgetting? Information seems to be distributed across all weights for this ovwerwriting to happen. Large LLM models have developed one solution, the so-called Mixture-of-Experts Model. This is where a routing mechanism decides what sections of a neural network become active for each tasks. Is that a viable solution? These models are gigantic and extremely computationally expensive. We think there is scope to be more brain-like without requiring such vast computational giants.\n", + "What causes catastrophic forgetting? If we train tasks continually (one after the other) and not in a joint fashion, it implies the overwriting of old knowledge (information) with new knowledge (information). That doesn't seem to happen in biological systems, so is there a lesson we can take from psychology and neuroscience to better handle catastrophic forgetting? Information seems to be distributed across all weights for this overwriting to happen. Large LLM models have developed one solution, the so-called Mixture-of-Experts Model. This is where a routing mechanism decides what sections of a neural network become active for each tasks. Is that a viable solution? These models are gigantic and extremely computationally expensive. We think there is scope to be more brain-like without requiring such vast computational giants.\n", "\n", "If you're interested in learning more, the topics we covered today are also often referred to as the **Stability-Plasticity Dilemma**. A search for that term will certainly bring you to many recent advances in exploring this idea. \n", "\n", @@ -793,7 +793,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial4.ipynb b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial4.ipynb index 545546044..7736e92e5 100644 --- a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial4.ipynb +++ b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial4.ipynb @@ -159,7 +159,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -724,7 +724,7 @@ " return self.state\n", "\n", " def step(self, action):\n", - " \"\"\"Evaluate agent's perfromance, return reward and next observation.\"\"\"\n", + " \"\"\"Evaluate agent's performance, return reward and next observation.\"\"\"\n", " if self.state[action] == self.rewarded_digit:\n", " feedback = self.reward\n", " else:\n", @@ -1170,7 +1170,7 @@ " - num_tasks (int, default = 10): number of tasks to evaluate agent on.\n", " - num_gradient_steps (int, default = 25): number of gradient steps to perform.\n", " - num_trials (int, default = 6): number of times the agent is exposed to the environment per gradient step to be trained .\n", - " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happend during this phase).\n", + " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happened during this phase).\n", "\n", " Outputs:\n", " - score (int): total score.\n", @@ -1742,7 +1742,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial5.ipynb b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial5.ipynb index b09c71def..2e018d51c 100644 --- a/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial5.ipynb +++ b/tutorials/W2D4_Macrolearning/student/W2D4_Tutorial5.ipynb @@ -161,7 +161,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -662,7 +662,7 @@ " return self.state\n", "\n", " def step(self, action):\n", - " \"\"\"Evaluate agent's perfromance, return reward, max reward (for tracking agent's performance) and next observation.\"\"\"\n", + " \"\"\"Evaluate agent's performance, return reward, max reward (for tracking agent's performance) and next observation.\"\"\"\n", " feedback = color_names_rewards[self.color_state[action]]\n", " max_feedback = np.max([color_names_rewards[self.color_state[action]], color_names_rewards[self.color_state[1 - action]]])\n", " self.update_state()\n", @@ -862,7 +862,7 @@ " log_probs.append(log_prob)\n", " entropy_term += entropy\n", "\n", - " #calculataing loss\n", + " #calculating loss\n", " Qval = 0\n", " Qvals = torch.zeros(len(rewards))\n", " for t in reversed(range(len(rewards))):\n", @@ -890,7 +890,7 @@ " - env (ChangingEnv): environment.\n", " - agent (ActorCritic): particular instance of Actor Critic agent to train.\n", " - mode (int, default = 1): mode of the environment.\n", - " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happend during this phase).\n", + " - num_evaluation_trials (int, default = 20): number of times the agent is exposed to the environment to evaluate it (no training happened during this phase).\n", "\n", " Outputs:\n", " - scores (list): rewards over all trials of evaluation.\n", @@ -1185,7 +1185,7 @@ "outputs": [], "source": [ "# @title Submit your feedback\n", - "content_review(f\"{feedback_prefix}_a2c_agent_in_changing_enviornment\")" + "content_review(f\"{feedback_prefix}_a2c_agent_in_changing_environment\")" ] }, { @@ -1582,7 +1582,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb b/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb index 263e39f50..27f9c8c29 100644 --- a/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb +++ b/tutorials/W2D5_Mysteries/W2D5_Intro.ipynb @@ -227,7 +227,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb b/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb index 98f509406..bfbaead06 100644 --- a/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb +++ b/tutorials/W2D5_Mysteries/W2D5_Tutorial1.ipynb @@ -3812,7 +3812,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D5_Mysteries/instructor/W2D5_Intro.ipynb b/tutorials/W2D5_Mysteries/instructor/W2D5_Intro.ipynb index e7bea670c..27f9c8c29 100644 --- a/tutorials/W2D5_Mysteries/instructor/W2D5_Intro.ipynb +++ b/tutorials/W2D5_Mysteries/instructor/W2D5_Intro.ipynb @@ -28,7 +28,7 @@ "\n", "**By Neuromatch Academy**\n", "\n", - "__Content creators:__ Megan Peters, Joseph LeDoux, Matthias Michel, Daniel Dennett" + "__Content creators:__ Megan Peters, Joseph LeDoux, Matthias Michel, Claire Sergent, Daniel Dennett" ] }, { @@ -227,7 +227,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D5_Mysteries/instructor/W2D5_Tutorial1.ipynb b/tutorials/W2D5_Mysteries/instructor/W2D5_Tutorial1.ipynb index 776abfb0d..9a35ae3ad 100644 --- a/tutorials/W2D5_Mysteries/instructor/W2D5_Tutorial1.ipynb +++ b/tutorials/W2D5_Mysteries/instructor/W2D5_Tutorial1.ipynb @@ -23,7 +23,7 @@ "\n", "**By Neuromatch Academy**\n", "\n", - "__Content creators:__ Steve Fleming, Guillaume Dumas, Samuele Bolotta, Juan David Vargas, Hakwan Lau, Anil Seth, Megan Peters\n", + "__Content creators:__ Steve Fleming, Guillaume Dumas, Samuele Bolotta, Juan David Vargas, Hakwan Lau, Anil Seth, Claire Sergent, Megan Peters\n", "\n", "__Content reviewers:__ Samuele Bolotta, Lily Chamakura, RyeongKyung Yoon, Yizhou Chen, Ruiyi Zhang, Patrick Mineault, Alex Murphy\n", "\n", @@ -209,7 +209,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -3818,7 +3818,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D5_Mysteries/student/W2D5_Intro.ipynb b/tutorials/W2D5_Mysteries/student/W2D5_Intro.ipynb index e7bea670c..27f9c8c29 100644 --- a/tutorials/W2D5_Mysteries/student/W2D5_Intro.ipynb +++ b/tutorials/W2D5_Mysteries/student/W2D5_Intro.ipynb @@ -28,7 +28,7 @@ "\n", "**By Neuromatch Academy**\n", "\n", - "__Content creators:__ Megan Peters, Joseph LeDoux, Matthias Michel, Daniel Dennett" + "__Content creators:__ Megan Peters, Joseph LeDoux, Matthias Michel, Claire Sergent, Daniel Dennett" ] }, { @@ -227,7 +227,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, diff --git a/tutorials/W2D5_Mysteries/student/W2D5_Tutorial1.ipynb b/tutorials/W2D5_Mysteries/student/W2D5_Tutorial1.ipynb index 96aa0c2e8..9d537ef20 100644 --- a/tutorials/W2D5_Mysteries/student/W2D5_Tutorial1.ipynb +++ b/tutorials/W2D5_Mysteries/student/W2D5_Tutorial1.ipynb @@ -23,7 +23,7 @@ "\n", "**By Neuromatch Academy**\n", "\n", - "__Content creators:__ Steve Fleming, Guillaume Dumas, Samuele Bolotta, Juan David Vargas, Hakwan Lau, Anil Seth, Megan Peters\n", + "__Content creators:__ Steve Fleming, Guillaume Dumas, Samuele Bolotta, Juan David Vargas, Hakwan Lau, Anil Seth, Claire Sergent, Megan Peters\n", "\n", "__Content reviewers:__ Samuele Bolotta, Lily Chamakura, RyeongKyung Yoon, Yizhou Chen, Ruiyi Zhang, Patrick Mineault, Alex Murphy\n", "\n", @@ -209,7 +209,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -3680,7 +3680,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.22" + "version": "3.10.19" } }, "nbformat": 4, From 7db25c015fc28bd80096303dfdda6f81759e3f37 Mon Sep 17 00:00:00 2001 From: Konstantine Tsafatinos Date: Sun, 25 Jan 2026 21:55:37 -0500 Subject: [PATCH 32/32] Undo changes to w2d4t3 --- tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb b/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb index 19f09e21f..490c9aaa0 100644 --- a/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb +++ b/tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb @@ -160,7 +160,7 @@ "logging.getLogger('matplotlib.font_manager').disabled = True\n", "\n", "%matplotlib inline\n", - "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n", + "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n", "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")" ] }, @@ -444,7 +444,7 @@ "\n", " def __len__(self):\n", " \"\"\"Calculate the length of the dataset. It is obligatory for PyTorch to know in advance how many samples to expect (before training),\n", - " thus we enforced to include number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", + " thus we enforced to icnlude number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", "\n", " return self.num_epochs * self.num_tasks\n", "\n", @@ -758,7 +758,7 @@ "\n", " def __len__(self):\n", " \"\"\"Calculate the length of the dataset. It is obligatory for PyTorch to know in advance how many samples to expect (before training),\n", - " thus we enforced to include number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", + " thus we enforced to icnlude number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n", "\n", " return self.num_epochs * self.num_tasks\n", "\n",