Introduction to Deep Learning from Logical Calculus to Artificial Intelligence (Record no. 701230)

MARC details
000 -LEADER
fixed length control field 02450nam a22002537a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230201s2018 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319730035
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9783319730035
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number SKA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Skansi, Sandro
9 (RLIN) 673678
Relator term author
245 ## - TITLE STATEMENT
Title Introduction to Deep Learning from Logical Calculus to Artificial Intelligence
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham, Switzerland :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. c2018
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 191 p.
Other physical details : ill
490 ## - SERIES STATEMENT
Series statement Undergraduate Topics in Computer Science
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY:<br/><br/><br/>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.<br/>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.<br/><br/>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.<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Coding Theory
9 (RLIN) 987
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 156028
Topical term or geographic name entry element Information Theory
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning
9 (RLIN) 845
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-3-319-73004-2#toc ">https://link.springer.com/book/10.1007/978-3-319-73004-2#toc </a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9783319730035.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9783319730035.pdf</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date due Date last seen Date last checked out Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Circulation Section Circulation Section Circulation Section 27/01/2023 10 Purchased 10716.78 18 2 006.31 SKA 97903 29/05/2024 08/05/2024 08/05/2024 2022-23 12607.98 27/01/2023 Lending Collection