发表于2025-03-03
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.
Neural Networks for Pattern Recognition 下载 mobi pdf epub txt 电子书 格式 2025
Neural Networks for Pattern Recognition 下载 mobi epub pdf 电子书reference of AI.
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评分reference of AI.
评分##Bishop的这本NN比Bishop的ML大法看起来轻松多了……
Neural Networks for Pattern Recognition mobi epub pdf txt 电子书 格式下载 2025