Introduction to PyTorch in 20 Minutes: (Coffee Break Series)
PyTorch in 20 Minutes - Coffee Break Series (Paperback) provides a fresh and engaging entry point into one of the most dynamic areas of modern t…
Master practical coding skills.
START THE WEEK WITH SOMETHING GOOD
You do not have to reinvent yourself before breakfast. Start with a subject you care about and one page you want to read.
Book information. Reader perspectives. Direct retailer links.
A GOOD NEXT STEP
Start with something you want to understand.
02 / COMPAREChoose with confidence.Use the synopsis, book facts, and your own question.
03 / READMake room on the shelf.Find a title and follow its retailer link.
THE BOOKS
PyTorch in 20 Minutes - Coffee Break Series (Paperback) provides a fresh and engaging entry point into one of the most dynamic areas of modern t…
Master practical coding skills.
A fun, beginner‑friendly guide to building retro arcade games and boosting your creative confidence.
Learn the basics of building retro‑style arcade games.
Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback) provides a fresh and engaging entry point into one of the most dynamic…
Master practical coding skills.
WebGPU API - Owners' Workshop Manual (Beginners Onwards) provides a fresh and engaging entry point into one of the most dynamic areas of modern…
Master practical coding skills.
Generative Adversarial Networks (GANs) Explained provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.
Master practical coding skills.
Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders provides a fresh and engaging entry point into one of the most dynamic a…
Master practical coding skills.
A NOTE FOR YOUR NEXT CHAPTER
Pick a chapter rather than a whole reading challenge. Note one idea you could try this week. Leave a bookmark where you want to return, so the next start is easy to find.
Explore this reading approachANOTHER PERSPECTIVE
Outstanding. I kept finding reasons to come back to it.
This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. The index and cross-references are surprisingly good, which matters for a book I will come back to. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. This is the book I wish had existed when I started working with ai & machine learning.
Genuinely excellent — I finished it in a week and immediately started again.
I had been on the fence about this one for a while, and I should have bought it sooner. Some of the material is available elsewhere, but rarely presented this clearly. A couple of chapters felt like they could have been merged, but that is a minor complaint. It is denser than the page count suggests, and I found myself slowing down around the middle. An easy five stars from me. I look forward to whatever the author writes next.
An enjoyable and informative read, though it could have been shorter.
I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The explanations are careful without being condescending, which is a difficult balance to strike. There is a section near the end that ties several earlier ideas together in a way I had not seen before. Solid, and I would buy another book from this author without hesitation.
BEYOND THE BOOKSHELF
The tiny remains of the Laurentide Ice Sheet began getting somewhat less tiny.
Read at arstechnica.comThis community has often allowed people to share free tools and assets but it has always been subjective about where the line crosses regarding self-promotion or showing off a project. We have updated rule 3 to make the following…
Read at www.reddit.comLook for one useful idea, not a promise to transform your whole week.