Fundamentals of Deep Learning, 2nd Edition

English | 2021 | ISBN: 9781492082163 | 69 Pages | EPUB | 2.1 MB

We’re in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.

This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.

New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4.

http://nitroflare.com/view/D5CB252F68F1EC1/Fundamentals_of_Deep_Learning.epub

https://userupload.net/f3elvs5ze4ge

http://hexupload.net/j4g0pco43mmn

https://mega4up.com/qfod69b23nuc

https://dropapk.to/ds5yp713r1hd

https://dailyuploads.net/f9wynaenoxqm

[培训]内核驱动高级班，冲击BAT一流互联网大厂工作，每周日13:00-18:00直播授课