[NulledPremium com] Guide to Deep Learning

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Book details

File Size: 2.50 MB

Format: pdf

Print Length: 140 pages

Publisher: Springer; 1st ed. 2020 edition (January 23, 2020)

Publication Date: January 23, 2020

Sold by: Amazon.com Services LLC

Language: English

ASIN: B0846GYCDD



Benefits:





Presents unique perspectives on ideas in deep learning and artificial intelligence, and their historical and philosophical roots

Offers an introduction to cognitive aspects of deep learning, including those which are not tackled by existing deep learning applications but currently exist only as ideas

Highlights the roots of deep learning in philosophical and psychological concepts, which may also have a substantial impact on future developments in the field

About this Book



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 select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton.



Topics and features:



Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI

Presents a philosophical case for the use of fuzzy logic approaches in AI

Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics

Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences

Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being

Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI

Explores philosophical questions at the intersection of AI and transhumanism

This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field.







Table of contents (12 chapters)



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 Architectures 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