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Guide to Deep Learning Basics

Overview of attention for book
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 2: The McCulloch–Pitts Paper from the Perspective of Mathematical Logic
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Chapter title
The McCulloch–Pitts Paper from the Perspective of Mathematical Logic
Chapter number 2
Book title
Guide to Deep Learning Basics
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-37591-1_2
Book ISBNs
978-3-03-037590-4, 978-3-03-037591-1
Authors

Tin Perkov, Perkov, Tin

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Linguistics 1 50%
Unknown 1 50%

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