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Neural Networks and Deep Learning

Overview of attention for book
Neural Networks and Deep Learning
Springer International Publishing

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
Attention for Chapter 10: Graph Neural Networks
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Chapter title
Graph Neural Networks
Chapter number 10
Book title
Neural Networks and Deep Learning
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-29642-0_10
Book ISBNs
978-3-03-129641-3, 978-3-03-129642-0
Authors

Aggarwal, Charu

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