If you want to support us, feel free to use them. Finally, we include our book (Deep learning in production), not because we have to, but because we sincerely believe it’s worth being on the list.Īlso, note that some of the links below might be affiliate links, and at no additional cost to you, we will earn a commission if you decide to make a purchase after clicking through. In contrast to other “best/top” AI book lists you can find out there, we have spent at least a couple of hours on each book and thus provide an honest review. The reason is simple: ingesting exactly the information you need at that time. Still, we occasionally visit specific chapters or sections. We have probably never finished a single one of those books ourselves. We’ve certainly missed very good candidates but we believe these books are more than enough to fill your time dedicated to reading.
The competition is intense and it’s so hard to pick the best ones. The Booke Homepage (Sample Capters, Source Code, etc.Several books focus on deep learning have been written in the last few years.Deep Learning with Python, 2nd Edition (Francois Chollet).Francois is currently doing deep learning research at Google. He has been working with deep neural networks since 2012.
You'll quickly pick up the skills you need to start developing deep-learning applications. As you move through this book, you'll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. This book introduces the field of deep learning using Python and the powerful Keras library.
0 kommentar(er)
