Neural Network Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Martin Anthony 作者

Cambridge University Press

译者

2009-8-20 出版日期

404 页数

USD 59.00 价格

Paperback

丛书系列

9780521118620 图书编码

Neural Network Learning 在线电子书图书标签: 机器学习神经网络 ML 计算机科学 Neural_Networks NeuralNetwork

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Neural Network Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Neural Network Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Neural Network Learning 在线电子书图书描述

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, Anthony and Bartlett develop a model of classification by real-output networks, and demonstrate the usefulness of classification with a "large margin." The authors explain the role of scale-sensitive versions of the Vapnik Chervonenkis dimension in large margin classification, and in real prediction. Key chapters also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient, constructive learning algorithms. The book is self-contained and accessible to researchers and graduate students in computer science, engineering, and mathematics.

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