PyTorch Deep Learning Hands-On

All the key deep learning methods built step-by-step in PyTorch

PyTorch Deep Learning Hands-On

Sherin Thomas, Sudhanshu Passi

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All the key deep learning methods built step-by-step in PyTorch
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Book Details

ISBN 139781788834131
Paperback250 pages

Book Description

PyTorch is a new, lightweight, and Python-first tool for deep learning. Built by Facebook to offer flexibility and speed, it has quickly become the preferred tool for deep learning experts. PyTorch helps you release deep learning models faster than ever before.

PyTorch Deep Learning Hands-On shows how to implement every major deep learning architecture in PyTorch. Starting with simple neural networks, it covers PyTorch for computer vision (CNN), natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.

Each chapter focuses on a different area of deep learning. Chapters start with a refresher on the core principles, before sharing the code you need to implement them in PyTorch.

If you want to become a deep learning expert this book is for you.

What You Will Learn

Use PyTorch to build:

  • Simple Neural Networks – build neural networks the PyTorch way, with high-level functions, optimizers, and more
  • Convolutional Neural Networks – create advanced computer vision systems
  • Recurrent Neural Networks – work with sequential data such as natural language and audio
  • Generative Adversarial Networks – create new content with models including SimpleGAN and CycleGAN
  • Reinforcement Learning – develop systems that can solve complex problems such as driving or game playing
  • Deep Learning workflows – move effectively from ideation to production with proper deep learning workflow using PyTorch and its utility packages
  • Production-ready models – package your models for high-performance production environments

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Book Details

ISBN 139781788834131
Paperback250 pages
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