Bayesian Learning for Neural Networks 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Radford M. Neal 作者

Springer

译者

1996-8-9 出版日期

204 页数

CAD 201.82 价格

Paperback

丛书系列

9780387947242 图书编码

Bayesian Learning for Neural Networks 在线电子书图书标签: 贝叶斯人工神經網絡 NeuralNetworks Monte_Carlo 統計學機器學習概率論數學

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Bayesian Learning for Neural Networks 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Bayesian Learning for Neural Networks 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Bayesian Learning for Neural Networks 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Bayesian Learning for Neural Networks 在线电子书图书描述

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence.

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