This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describe

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together wit

Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.

This book introduces the basic principles and implementation process of deep learning in a simple way, and uses python's numpy library to build its own deep lea