This is a repository with some notebooks with illustrations of some Deep Learning principles, to help with study this subject.
TF-logreg.ipynb is an example of implementation of Logistic Regression in Tensorflow.
TF-logreg-nobias.ipynb - same but w/o bias (bias=0)
pytorch-speech-recognition.ipynb - Solution for one class Homework (name of the class withheld in order to not make it easier for other students to discover
PyTorch-activations-demo.ipynb - This is a demo notebook for different activation, optimizers and number of neuron in a hidden layer with MLP on a nonlinearly-separated dataset.
MNIST-cv-techniques.ipynb - MNIST using features made with OpenCV (No Neural Nerworks).
Cats-vs-dogs-VGG16.ipynb - famouse competition for classification using pre-trained VGG!6 (illustration of transfer learning)