Summary

Covering the fundamental theory and practical implementation of various neural models, Digital Neural Networks provides a coherent exploration and a well-structured presentation of the three most important aspects of neural networks: applications, algorithm, and architecture. Author/presenter S.Y. Kung offers viewers a working knowledge of various neural models, the fundamental theoretical basis, the potential application domains, and the basic implementation issues. In addition, you will find homework problems, theoretical derivations, examples, applications, a bibliography, and more in the companion text, Digital Neural Networks (PTR Prentice Hall, 1993). Together, this video and text allow for a more complete learning experience!