A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural netw

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

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information