Fundamentals of Deep Learning: Designing Next-Generation Machine

Description: 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.

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End Time: 2024-10-24T18:43:53.000Z

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Book Title: Fundamentals of Deep Learning: Designing Next-Generation Machine

Number of Pages: 387 Pages

Language: English

Publication Name: Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms

Publisher: O'reilly Media, Incorporated

Subject: Machine Theory, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, Neural Networks

Publication Year: 2022

Item Height: 0.9 in

Type: Textbook

Item Weight: 23.4 Oz

Author: Nikhil Buduma, Nithin Buduma, Joe Papa

Subject Area: Computers

Item Length: 9.2 in

Item Width: 7 in

Format: Trade Paperback