Or Practical Deep Learning (2nd Edition), A Python-Based Introduction as its more formally known.
As the full title indicates, Python is the language of choice to perform the deep learning, with all the code freely available on GitHub.
And it’s not for the faint hearted, going into detail on machine learning, neural networks, datasets, and large Language Models. It covers, for example, how neural networks work and how they’re trained. It also looks to teach you how to use classical machine learning models and develop a deep learning model from scratch. Finally, it shows you how to create your own generative AI models…
The publishers write:
“After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood.”
Note that you can download a sample chapter to get a taste.
Practical Deep Learning
Title: Practical Deep Learning (2nd Edition), A Python-Based Introduction
Author: Ronald T. Kneusel
Publisher: No Starch Press
Date: July 2025
Pages: 584
Formats: Print and e-book
ISBN-13: 9781718504202
Cost: $69.99 ($54.99)
The first edition was released back in 2021, so quite a few things have changed in the field of AI in the last four years!
Specifically, there is new material on computer vision, fine-tuning and transfer learning, and localisation. Also, self-supervised learning, generative AI for novel image creation, and large language models for in-context learning. Finally it also covers semantic search, and retrieval-augmented generation (RAG).
Author
The author is Ronald T. Kneusel who has a PhD in machine learning from the University of Colorado. He also has over 20 years of machine learning experience in industry.
Kneusel is the author of a range of books, including Math for Programming (2025), The Art of Randomness (2024), How AI Works (2023), Strange Code (2022), and Math for Deep Learning (2021).
See also: Gadget Book: Our Robotics Future
