Neural Network Learning

Neural Network Learning
Author :
Publisher : Cambridge University Press
Total Pages : 405
Release :
ISBN-10 : 9780521573535
ISBN-13 : 052157353X
Rating : 4/5 (35 Downloads)

Book Synopsis Neural Network Learning by : Martin Anthony

Download or read book Neural Network Learning written by Martin Anthony and published by Cambridge University Press. This book was released on 1999-11-04 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research on pattern classification with binary-output networks, including a discussion of the relevance of the Vapnik Chervonenkis dimension, and of estimates of the dimension for several neural network models. In addition, the authors develop a model of classification by real-output networks, and demonstrate the usefulness of classification...


Neural Network Learning Related Books

Neural Network Learning
Language: en
Pages: 405
Authors: Martin Anthony
Categories: Computers
Type: BOOK - Published: 1999-11-04 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research
Theoretical Advances in Neural Computation and Learning
Language: en
Pages: 482
Authors: Vwani Roychowdhury
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda tiona
Advances in Neural Computation, Machine Learning, and Cognitive Research
Language: en
Pages: 199
Authors: Boris Kryzhanovsky
Categories: Computers
Type: BOOK - Published: 2018-05-12 - Publisher: Springer

DOWNLOAD EBOOK

This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learn
The Principles of Deep Learning Theory
Language: en
Pages: 473
Authors: Daniel A. Roberts
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Handbook of Neural Computation
Language: en
Pages: 660
Authors: Pijush Samui
Categories: Technology & Engineering
Type: BOOK - Published: 2017-07-18 - Publisher: Academic Press

DOWNLOAD EBOOK

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, e