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

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

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