Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume I: Fundamentals

by Daniel Voigt Godoy

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! 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. By the time you finish this book, you’ll have a thorough understanding of the concepts and tools necessary to start developing and training your own models using PyTorch . If you have absolutely no experience with PyTorch, this is your starting point.

Genres: Nonfiction

280 pages, Paperback

Published January 23, 2022

About the author

Daniel Voigt Godoy is an Amazon best-selling author who has self-published a series of technical books used as textbooks in universities in the United States and Spain.
In the last 25 years, he had many jobs—developer, data scientist, teacher, writer—but he's none of them. After figuring out his own path, he decided to share his experience and insights with others in his upcoming book "You're Not Your Job: Going Above and Beyond for Yourself."

Reviews

[Michael Koltsov · Rating 5 out of 5]

Probably, the least boring book on building your own language model with PyTorch

The book keeps you engaged till the very end with fun examples and ,most unusually for a technical book, jokes. What's also unusual, all its Jupyter code examples worked for me.

Not sure how much did I learn from it, but can 100% recommend it as reading it was fun and pleasant.

Score 5/5

[Lee Whieldn · Rating 4 out of 5]

Great intro to PyTorch. My only gripe is the non sequiturs the author likes to take you on impedes the ability to learn the core concepts at times. Also, would love to see more markdown in the complementary notebooks to make it easier to follow on the code from the readings.