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Guide to Deep Learning Basics

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Cover of 'Guide to Deep Learning Basics'

Table of Contents

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    Book Overview
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    Chapter 1 Mathematical Logic: Mathematics of Logic or Logic of Mathematics
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    Chapter 2 The McCulloch–Pitts Paper from the Perspective of Mathematical Logic
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    Chapter 3 From the Linguistic Turn to the Cognitive Turn and Back Again
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    Chapter 4 Why Not Fuzzy Logic?
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    Chapter 5 Meaning as Use: From Wittgenstein to Google’s Word2vec
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    Chapter 6 Rudolf Carnap–The Grandfather of Artificial Neural Networks: The Influence of Carnap’s Philosophy on Walter Pitts
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    Chapter 7 A Lost Croatian Cybernetic Machine Translation Program
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    Chapter 8 The Architectures of Geoffrey Hinton
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    Chapter 9 Machine Learning and the Philosophical Problems of Induction
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    Chapter 10 The Artificial Intelligence Singularity: What It Is and What It Is Not
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    Chapter 11 AI-Completeness: Using Deep Learning to Eliminate the Human Factor
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    Chapter 12 Transhumanism and Artificial Intelligence: Philosophical Aspects
Attention for Chapter 9: Machine Learning and the Philosophical Problems of Induction
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