Guide to Deep Learning Basics Logical, Historical and Philosophical Perspectives /
This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights selec...
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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
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| Online Access: | https://doi.org/10.1007/978-3-030-37591-1 |
Table of Contents:
- Mathematical Logic: Mathematics of Logic or Logic Of Mathematics?
- The McCulloch–Pitts Paper from the Perspective of Mathematical Logic
- From the Linguistic Turn to the Cognitive Turn and Back Again
- Why not Fuzzy Logic?
- Meaning as Use: From Wittgenstein to Google’s Word2Vec
- Rudolf Carnap, the Grandfather of Artificial Neural Networks: The Influence of Carnap’s Philosophy on Walter Pitts
- A Lost Croatian Cybernetic Machine Translation Program
- The Architecture of Geoffrey Hinton
- Machine Learning and the Philosophical Problems of Induction
- The Artificial Intelligence Singularity: What it Is and What it Is Not
- AI-Completeness: Using Deep Learning to Eliminate the Human Factor
- Transhumanism and Artificial Intelligence: Philosophical Aspects.