https://github.com/iamtrask/Grokking-Deep-Learning

Jupyter Notebook
this repository accompanies my forthcoming book "Grokking Deep Learning"

Grokking-Deep-Learning

This repository accompanies my forthcoming book "Grokking Deep Learning", available here. Also, the coupon code "trask40" is good for a 40% discount.

• Chapter 3 - Forward Propagation - Intro to Neural Prediction
• Chapter 4 - Gradient Descent - Into to Neural Learning
• Chapter 5 - Generalizing Gradient Descent - Learning Multiple Weights at a Time
• Chapter 6 - Intro to Backpropagation - Building your first DEEP Neural Network
• Chapter 8 - Intro to Regularization - Learning Signal and Ignoring Noise
• Chapter 9 - Intro to Activation Functions - Learning to Model Probabilities
• Chapter 10 - Intro to Convolutional Neural Networks - Learning Edges and Corners
• Chapter 11 - Intro to Word Embeddings - Neural Networks which Understand Language
• Chapter 12 - Intro to Recurrence (RNNs) - Predicting the Next Word
• Chapter 13 - Intro to Automatic Differentiation
• Chapter 14 - Exploding Gradients Example
• Chapter 14 - Intro to LSTMs
• Chapter 14 - Intro to LSTMs - Part 2
• Chapter 15 - Intro to Federated Learning