00000nam a22000004i 4500 UP-8027390931311591789 Buklod 20250717160039.0 m |o d | cr ||||||||||| 250218s2022 enk r b|001 0|eng d 9781492082187 (paperback : acid-free paper) (Buklod)UP-99796217613747301 E2-4214 Mind Mover Php5,448.00 Dr. Carl Tolentino EEEI DLC DENGII rda eng TA 347 A78 B38 2022 Buduma, Nithin author. Fundamentals of deep learning designing next-generation machine intelligence algorithms Nithin Buduma, Nikhil Buduma, Joe Papa. Second edition. Sebastopol O'Reilly Media, Inc. [2022] xiii, 372 pages illustrations 23 cm text rdacontent unmediated rdamedia volume rdacarrier Includes index. 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. Artificial intelligence. Machine learning. Neural networks (Computer science) Electronic devices and circuits EEE 131 College of Engineering, University of the Philippines Diliman. Circuits and electronics II EEE 133 College of Engineering, University of the Philippines Diliman. FO UPD DENG-II TA 347 A78 B38 2022 Book