Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives okumak kayıt olmadan

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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 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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Kolektif 29 Ekim 2011 1 Ocak 2017 28 Ekim 2011 3 Ocak 2017 WADE H MCCREE Additional Contributors 18,9 x 0,2 x 24,6 cm ROBERT H BORK 18,9 x 0,6 x 24,6 cm Mdpi AG ERWIN N GRISWOLD 28 Şubat 2018 18,9 x 0,3 x 24,6 cm 18,9 x 0,5 x 24,6 cm 15 x 0,5 x 22 cm 30 Ekim 2011 18,9 x 0,4 x 24,6 cm
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Sürüm ayrıntıları
yazar Springer; 1st ed. 2020 basım
isbn 13 978-3030375904
Yayımcı Springer; 1st ed. 2020 basım
Boyutlar ve boyutlar 15.6 x 0.97 x 23.39 cm
Tarafından yayınlandı Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives 24 Ocak 2020

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