Neural networks
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Neural networks proceedings of the School on Neural Networks, June, 1967, in Ravello; edited by E.R. Caianiello. by School on Neural Networks, Ravello, Italy 1967

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Published by Springer in New York .
Written in English

Subjects:

  • Nervous system -- Mathematical models

Book details:

Edition Notes

ContributionsCaianiello, Eduardo R., 1921-,
Classifications
LC ClassificationsQP361 S33 1967
The Physical Object
Pagination190p.
Number of Pages190
ID Numbers
Open LibraryOL18164911M

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*** The list is continued: here *** "Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance) to do tasks by considering examples, generally without task-specific programming". To my wife, Nancy, for her patience and tolerance, and to the countless researchers in neural networks for their original contributions, the many reviewers for their critical inputs,and many of . The purpose of this book is to help you master the core concepts of neural networks, including modern techniques for deep learning. After working through the book you will have written code that uses neural networks and deep learning to solve complex pattern recognition problems. And you will have a foundation to use neural networks and deep. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics.