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Bayesian Learning for Neural Networks 2024 pdf epub mobi 電子書下載

Bayesian Learning for Neural Networks

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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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Bayesian Learning for Neural Networks 2024 pdf epub mobi 電子書下載

Bayesian Learning for Neural Networks 2024 pdf epub mobi 電子書下載

Bayesian Learning for Neural Networks 2024 pdf epub mobi 電子書下載

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出版者:Springer

作者:Radford M. Neal

出品人:

頁數:204

譯者:

出版時間:1996-8-9

價格:CAD 201.82

裝幀:Paperback

isbn號碼:9780387947242

叢書系列:

圖書標籤: 貝葉斯人工神經網絡 NeuralNetworks Monte_Carlo 統計學機器學習概率論數學

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