Fundamentals of Deep Learning, 2nd Edition

Designing Next-Generation Machine Intelligence Algorithms



Bookstore > Books > Fundamentals of Deep Learning, 2nd Edition

Price$52.95 - $55.23
Rating
AuthorsNithin Buduma, Nikhil Buduma, Joe Papa
PublisherO'Reilly Media
Published2022
Pages387
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-10149208218X
ISBN-139781492082187
EBook Hardcover Paperback

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.

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

Learn the mathematics behind machine learning jargon; Examine the foundations of machine learning and neural networks; Manage problems that arise as you begin to make networks deeper; Build neural networks that analyze complex images; Perform effective dimensionality reduction using autoencoders; Dive deep into sequence analysis to examine language; Explore methods in interpreting complex machine learning models; Gain theoretical and practical knowledge on generative modeling; Understand the fundamentals of reinforcement learning.


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