Human Perception of Visual Information
by Bogdan Ionescu, Wilma A. Bainbridge, Naila Murray
Handbook of Fingerprint Recognition
by Davide Maltoni, Dario Maio, Anil K. Jain, Jianjiang Feng
"Every time you use a smart device or some sort of slick technology--be it a smartwatch, smart speaker, security alarm, or even customer service chat box--you're engaging with artificial intelligence (AI). If you're curious about how AI is developed--or question whether AI is re…
With practical examples, this book teaches you how to effectively implement deep learning techniques to build neural network architectures. This book will be useful for anyone who wants to implement deep learning concepts using the latest version of PyTorch.
In order to build robust deep learning systems, youâ#x80;#x99;ll need to understand everything from how neural networks work to training CNN models. In this book, youâ#x80;#x99;ll discover newly developed deep learning models, methodologies used in the domain, and their implemen…
"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that i…
Control crash course -- Optimal control -- ODE methods for algorithm design -- Value function approximations -- Markov chains -- Stochastic control -- Stochastic approximation -- Temporal difference methods -- Setting the stage, return of the actors. "A high school student can …
"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that i…
"This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. …