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Introduction to Deep Learning

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Cover of 'Introduction to Deep Learning'

Table of Contents

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    Book Overview
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    Chapter 1 From Logic to Cognitive Science
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    Chapter 2 Mathematical and Computational Prerequisites
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    Chapter 3 Machine Learning Basics
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    Chapter 4 Feedforward Neural Networks
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    Chapter 5 Modifications and Extensions to a Feed-Forward Neural Network
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    Chapter 6 Convolutional Neural Networks
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    Chapter 7 Recurrent Neural Networks
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    Chapter 8 Autoencoders
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    Chapter 9 Neural Language Models
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    Chapter 10 An Overview of Different Neural Network Architectures
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    Chapter 11 Conclusion
Attention for Chapter 1: From Logic to Cognitive Science
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