Deep Learning with PyTorch Step-by-Step
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简介
书名：Deep Learning with PyTorch Step-by-Step
作者：Daniel Voigt Godoy
简介：Why this book?Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical book that’s also easy and enjoyable to read?
This is it!
How is this book different?First, this book presents an easy-to-follow, structured, incremental, and from-first-principles approach to learning PyTorch.Second, this is a rather informal It is written as if you, the reader, were having a conversation with Daniel, the author.His job is to make you understand the topic well, so he avoids fancy mathematical notation as much as possible and spells everything out in plain English.What will I learn?In this first volume of the series, you’ll be introduced to the fundamentals of autograd, model classes, datasets, data loaders, and more. You will develop, step-by-step, not only the models themselves but also your understanding of them.
作者：Daniel Voigt Godoy
简介：Why this book?Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical book that’s also easy and enjoyable to read?
This is it!
How is this book different?First, this book presents an easy-to-follow, structured, incremental, and from-first-principles approach to learning PyTorch.Second, this is a rather informal It is written as if you, the reader, were having a conversation with Daniel, the author.His job is to make you understand the topic well, so he avoids fancy mathematical notation as much as possible and spells everything out in plain English.What will I learn?In this first volume of the series, you’ll be introduced to the fundamentals of autograd, model classes, datasets, data loaders, and more. You will develop, step-by-step, not only the models themselves but also your understanding of them.
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