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Neural Network Learning: Theoretical Foundations

Martin Anthony, Peter L. Bartlett




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 | #3343060 in Books |  Cambridge University Press |  1999-11-13 | Original language:English | PDF # 1 |  8.98 x1.06 x5.98l,1.40 | File type: PDF | 404 pages

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|| |"This book gives a thorough but nevertheless self-contained treatment of neural network learning from the perspective of computational learning theory." Mathematical s

"This book is a rigorous treatise on neural networks that is written for advan

This important work describes recent theoretical advances in the study of artificial neural networks. It 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, Anth...

You easily download any file type for your device.Neural Network Learning: Theoretical Foundations   |  Martin Anthony, Peter L. Bartlett.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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