Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathem

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear alge

This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of

For convenience, many of the proofs of the key theorems have been rewritten so that the entire book uses a relatively uniform notion.