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Fundamentals of Deep Learning, 2nd Edition (Fourth Early Release) PDF

416 Pages·2022·10.9394 MB·other
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by Nithin Buduma & Nikhil Buduma & Joe Papa| 2022| 416 pages| 10.9394| other

About Fundamentals of Deep Learning, 2nd Edition (Fourth Early Release)

<span><p>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.</p><p>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.</p><p>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.</p></span>

Detailed Information

Author:Nithin Buduma & Nikhil Buduma & Joe Papa
Publication Year:2022
ISBN:1492082171
Pages:416
Language:other
File Size:10.9394
Format:PDF
Price:FREE
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