Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume III: Sequences & NLP

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 third volume of the series, you’ll be introduced to all things recurrent neural networks and their variations, sequence-to-sequence models, attention , self-attention, and Transformers . This volume also includes a crash course on natural language processing (NLP) , from the basics of word tokenization all the way up to fine-tuning large models (BERT and GPT-2) using the HuggingFace library. 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 language models using PyTorch . This volume is more demanding than the other two, and you’re going to enjoy it more if you already have a solid understanding of deep learning models.

683 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."