Guide to Deep Learning Basics

Name: Guide to Deep Learning Basics
Brand: Springer, Berlin
SKU: 9783030375904
Price: 422.9 PLN
Availability: InStock

Logical, Historical and Philosophical Perspectives

Autor: Sandro Skansi

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

422.90 zł

This stimulating text/reference presents a philosophical exploration of the conceptual foundations o...

Informacje o książce

Autor

Sandro Skansi

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2020

strony

140

EAN

9783030375904

Enbook ID

25243173

Wydawca

Springer, Berlin

Waga

395

Wymiary

155 x 235 x 14

Pełny opis

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.

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Guide to Deep Learning Basics

Logical, Historical and Philosophical Perspectives

Informacje o książce

Pełny opis

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