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PRML study
Chapter-1 Introduction
Chapter-2 Probability Distributions
Chapter-3 Linear Models
Chapter-4 Linear Models for Classification
Chapter-5 Neural Networks

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Chapter-5 Neural Networks

5.1 Feed-forward network Function 5.2 Network Training 5.3 Error Backpropagation 5.4 The Hessian Matrix 5.5 Regularization in Neural Networks 5.6 Mixture Density Networks 5.7 Bayesian Neural Networks

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