PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More / Sherin Thomas with Sudhanshu Passi
Chapter 1: Deep Learning Walkthrough and PyTorch Introduction -- Chapter 2: A Simple Neural Network -- Chapter 3: Deep Learning Workflow -- Chapter 4: Computer Vision -- Chapter 5: Sequential Data Processing -- Chapter 6: Generative Networks -- Chapter 7: Reinforcement Learning -- Chapter 8: PyTorch to Production
Summary
Implement every major architecture of deep learning in PyTorch. Starting with simple neural networks, it covers PyTorch for computer vision (CNN), natural language (RNN), GANs, and reinforcement learning. It covers deep learning workflows, migrating models to TorchScript, and deploying to efficient production environments
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Online resource; title from digital title page (viewed on July 19, 2019)
