Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

by Jeremy Howard, Sylvain Gugger

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Deep Learning for Coders with fastai and PyTorch offers a practical path into artificial intelligence for programmers. Jeremy Howard and Sylvain Gugger present deep learning through fastai and PyTorch, helping readers explore AI applications while building knowledge through coding rather than advanced academic credentials.

About This Book

Deep Learning for Coders with fastai and PyTorch introduces deep learning through a practical, coding-focused approach.

Jeremy Howard and Sylvain Gugger focus on using fastai and PyTorch to work with modern artificial intelligence applications.

The book is intended for coders who want to study deep learning without pursuing a PhD.

It combines programming, machine learning, and accessible explanations for readers developing their understanding of AI.

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I will be using this book for: