There are many reasons why neural networks fascinate us and have captivated headlines in recent years. They make web searches better, organize photos, and are e

This volume of research papers comprises the proceedings of the first International Conference on Mathematics of Neural Networks and Applications (MANNA), which

This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and desc

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

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the de