Grokking-Deep-Learning

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

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
tasksv11		tasksv11
.gitignore		.gitignore
Chapter10 - Intro to Convolutional Neural Networks - Learning Edges and Corners.ipynb		Chapter10 - Intro to Convolutional Neural Networks - Learning Edges and Corners.ipynb
Chapter11 - Intro to Word Embeddings - Neural Networks that Understand Language.ipynb		Chapter11 - Intro to Word Embeddings - Neural Networks that Understand Language.ipynb
Chapter12 - Intro to Recurrence - Predicting the Next Word.ipynb		Chapter12 - Intro to Recurrence - Predicting the Next Word.ipynb
Chapter13 - Intro to Automatic Differentiation - Let's Build A Deep Learning Framework.ipynb		Chapter13 - Intro to Automatic Differentiation - Let's Build A Deep Learning Framework.ipynb
Chapter14 - Exploding Gradients Examples.ipynb		Chapter14 - Exploding Gradients Examples.ipynb
Chapter14 - Intro to LSTMs - Learn to Write Like Shakespeare.ipynb		Chapter14 - Intro to LSTMs - Learn to Write Like Shakespeare.ipynb
Chapter14 - Intro to LSTMs - Part 2 - Learn to Write Like Shakespeare.ipynb		Chapter14 - Intro to LSTMs - Part 2 - Learn to Write Like Shakespeare.ipynb
Chapter15 - Intro to Federated Learning - Deep Learning on Unseen Data.ipynb		Chapter15 - Intro to Federated Learning - Deep Learning on Unseen Data.ipynb
Chapter3 - Forward Propagation - Intro to Neural Prediction.ipynb		Chapter3 - Forward Propagation - Intro to Neural Prediction.ipynb
Chapter4 - Gradient Descent - Intro to Neural Learning.ipynb		Chapter4 - Gradient Descent - Intro to Neural Learning.ipynb
Chapter5 - Generalizing Gradient Descent - Learning Multiple Weights at a Time.ipynb		Chapter5 - Generalizing Gradient Descent - Learning Multiple Weights at a Time.ipynb
Chapter6 - Intro to Backpropagation - Building Your First DEEP Neural Network.ipynb		Chapter6 - Intro to Backpropagation - Building Your First DEEP Neural Network.ipynb
Chapter8 - Intro to Regularization - Learning Signal and Ignoring Noise.ipynb		Chapter8 - Intro to Regularization - Learning Signal and Ignoring Noise.ipynb
Chapter9 - Intro to Activation Functions - Modeling Probabilities.ipynb		Chapter9 - Intro to Activation Functions - Modeling Probabilities.ipynb
MNISTPreprocessor.ipynb		MNISTPreprocessor.ipynb
README.md		README.md
docker-compose.yml		docker-compose.yml
floyd.yml		floyd.yml
ham.txt		ham.txt
labels.txt		labels.txt
reviews.txt		reviews.txt
shakespear.txt		shakespear.txt
spam.txt		spam.txt

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