Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision

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 second volume of the series, you’ll be introduced to deeper models and activation functions , convolutional neural networks , initialization schemes, learning rate schedulers, transfer learning , and more. By the time you finish this book, you’ll have a thorough understanding of the concepts and tools necessary to start developing, training, and fine-tuning computer-vision models using PyTorch . If your goal is to learn about deep learning models for computer vision, and you’re already comfortable training simple models in PyTorch, the second volume is the right one for you.

398 pages, Kindle Edition

Published January 22, 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."