Table of Contents
Getting started: Simple linear regression in TensorFlow.js
Adding nonlinearity: Beyond weighted sums
Recognizing images and sounds using convnets
Transfer learning: Reusing pretrained neural networks
Working with data
Visualizing data and models
Underfitting, overfitting, and the universal workflow of machine learning
Deep learning for sequences and text
Generative deep learning
Basics of deep reinforcement learning
Testing, optimizing, and deploying models
Summary, conclusions, and beyond
Installing tfjs-node-gpu and its dependencies
A quick tutorial of tensors and operations in TensorFlow.js
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