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Models of Neural Networks III

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Cover of 'Models of Neural Networks III'

Table of Contents

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    Book Overview
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    Chapter 1 Global Analysis of Recurrent Neural Networks
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    Chapter 2 Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns
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    Chapter 3 Associative Data Storage and Retrieval in Neural Networks
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    Chapter 4 Inferences Modeled with Neural Networks
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    Chapter 5 Statistical Mechanics of Generalization
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    Chapter 6 Bayesian Methods for Backpropagation Networks
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    Chapter 7 Penacée: A Neural Net System for Recognizing On-Line Handwriting
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    Chapter 8 Topology Representing Network in Robotics
Attention for Chapter 4: Inferences Modeled with Neural Networks
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