Neural Networks and Deep Learning

Table of Contents

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   Book Overview
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   Chapter 1 An Introduction to Neural Networks
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   Chapter 2 The Backpropagation Algorithm
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   Chapter 3 Machine Learning with Shallow Neural Networks
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   Chapter 4 Deep Learning: Principles and Training Algorithms
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   Chapter 5 Teaching Deep Learners to Generalize
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   Chapter 6 Radial Basis Function Networks
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   Chapter 7 Restricted Boltzmann Machines
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   Chapter 8 Recurrent Neural Networks
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    Chapter 9 Convolutional Neural Networks
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    Chapter 10 Graph Neural Networks
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    Chapter 11 Deep Reinforcement Learning
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    Chapter 12 Advanced Topics in Deep Learning