Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence - Couverture souple

Livre 71 sur 116: Undergraduate Topics in Computer Science

Skansi, Sandro

 
9783319730035: Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence
Couverture souple
ISBN 10 : 3319730037 ISBN 13 : 9783319730035
Editeur : Springer, 2018

Synopsis

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website.

Topics and features: introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning; discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network; examines convolutional neural networks, and the recurrent connections to a feed-forward neural network; describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning; presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism.

This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology.

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À propos de l?auteur

Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb and Lecturer in Data Science at University College Algebra, Zagreb, Croatia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2018
Langue
anglais
ISBN 10 
3319730037
ISBN 13 
9783319730035
Reliure
Broché
Nombre de pages
208
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Allemagne

Autres éditions populaires du même titre

9783319730059: Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence

Edition présentée

ISBN 10 :  3319730053 ISBN 13 :  9783319730059
Editeur : Springer, 2018
Couverture souple