My Notebooks

Machine Learning

In these notebooks, I explore different machine learning concepts.

Kernel Demo Notebook.ipynb

A demo of the usefulness of different kernels from the SVM's point of view. (open)

Bag of classifiers.ipynb

In this notebook, we create a synthetic dataset and classify that dataset using different classifiers. (open)

Regularization Demo.ipynb

In this notebook, we'll explore different aspects of L1 and L2 regularization. (open)

TensorFlow

In these notebooks, I implement different machine learning algorithms in tensorFlow.

Linear Regression in TensorFlow.ipynb

Implementaion of Linear Regression in TensorFlow. (open)

Logistic Regression in TensorFlow.ipynb

Classify MNIST dataset in tensorFlow using logistic regression. (open)

Multi-layer percepton in Tensorflow.ipynb

Implementation of MLP in tensorFlow (open)

MLP displayed in Tensorboard .ipynb

Display MLP in tensorboard (open)

Convolution neural network in tensorboard.ipynb

In this notebook, we'll implement a CNN and display the CNN graph and parameters in tensorboard.(open)