图书标签: 神经网络 模式识别 机器学习 人工智能 AI 计算机 模式分类 Classification
发表于2024-12-23
Neural Networks for Pattern Recognition pdf epub mobi txt 电子书 下载 2024
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.
Bishop的这本NN比Bishop的ML大法看起来轻松多了……
评分about how to build a network of neutrons
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……
评分Bishop's introduction to neural networks and pattern classification
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Neural Networks for Pattern Recognition pdf epub mobi txt 电子书 下载 2024