LEADER 03872oam 2200577 450 001 9910299277703321 005 20231006024129.0 010 $a3-319-73004-5 024 7 $a10.1007/978-3-319-73004-2 035 $a(CKB)4100000002485407 035 $a(DE-He213)978-3-319-73004-2 035 $a(MiAaPQ)EBC6315244 035 $a(MiAaPQ)EBC5591543 035 $a(Au-PeEL)EBL5591543 035 $a(OCoLC)1027057165 035 $a(PPN)224638327 035 $a(EXLCZ)994100000002485407 100 $a20180205d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to deep learning $efrom logical calculus to artificial intelligence /$fby Sandro Skansi 205 $a1st edition. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 191 p. 38 illus.) 225 1 $aUndergraduate Topics in Computer Science,$x1863-7310 311 0 $a3-319-73003-7 327 $aFrom Logic to Cognitive Science -- Mathematical and Computational Prerequisites -- Machine Learning Basics -- Feed-forward Neural Networks -- Modifications and Extensions to a Feed-forward Neural Network -- Convolutional Neural Networks -- Recurrent Neural Networks -- Autoencoders -- Neural Language Models -- An Overview of Different Neural Network Architectures -- Conclusion. 330 $aThis textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website. Topics and features: Introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning Discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network Examines convolutional neural networks, and the recurrent connections to a feed-forward neural network Describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning Presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology. Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb and Lecturer in Data Science at University College Algebra, Zagreb, Croatia. 410 0$aUndergraduate Topics in Computer Science,$x1863-7310 606 $aMachine learning 606 $aPattern recognition 606 $aNeural networks (Computer science)  606 $aCoding theory 606 $aInformation theory 615 0$aMachine learning. 615 0$aPattern recognition. 615 0$aNeural networks (Computer science) . 615 0$aCoding theory. 615 0$aInformation theory. 676 $a004 700 $aSkansi$b Sandro$0910927 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299277703321 996 $aIntroduction to Deep Learning$92039138 997 $aUNINA LEADER 03920oam 2200721I 450 001 9910969406503321 005 20250718195902.0 010 $a1-135-23640-2 010 $a1-135-23641-0 010 $a1-282-97510-2 010 $a9786612975103 010 $a1-84972-800-3 010 $a0-203-86647-9 024 7 $a10.4324/9780203866474 035 $a(CKB)2550000000003297 035 $a(EBL)465404 035 $a(OCoLC)671568129 035 $a(SSID)ssj0000342544 035 $a(PQKBManifestationID)11286385 035 $a(PQKBTitleCode)TC0000342544 035 $a(PQKBWorkID)10285630 035 $a(PQKB)11540849 035 $a(CaBNvSL)gtp00544222 035 $a(Credo)routencsca2009 035 $a(Credo)9781849728003 035 $a(MiAaPQ)EBC465404 035 $a(Au-PeEL)EBL465404 035 $a(CaPaEBR)ebr10361635 035 $a(CaONFJC)MIL297510 035 $a(OCoLC)671568129 035 $a(PPN)144384906 035 $a(EXLCZ)992550000000003297 100 $a20180706d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aRoutledge encyclopedia of social and cultural anthropology /$fedited by Alan Barnard and Jonathan Spencer 205 $a2nd ed. 210 1$aLondon ;$aNew York :$cRoutledge,$d2010. 215 $a1 online resource (888 p.) 300 $aRev. edition of: Encyclopedia of social and cultural anthropology / edited by Alan Barnard, Jonathan Spencer. 1996. 311 08$a0-415-80936-3 311 08$a0-415-40978-0 320 $aIncludes bibliographical references. 327 $aBOOK COVER; TITLE; COPYRIGHT; EDITORIAL BOARD; CONTENTS; PREFACE TO THE SECOND EDITION; ACKNOWLEDGEMENTS; INTRODUCTION; HOW TO USE THIS BOOK; LIST OF ENTRIES; LIST OF CONTRIBUTORS; ANALYTICAL TABLE OF CONTENTS; CONTRIBUTIONS BY AUTHOR; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Y; BIOGRAPHICAL APPENDIX; GLOSSARY; NAME INDEX; PEOPLES AND PLACES INDEX; SUBJECT INDEX 330 3 $aThis new edition of the highly acclaimed Encyclopedia of Social and Cultural Anthropology provides a unique guide to the ideas, arguments and history of the discipline. Combining anthropological theory and ethnography, it includes substantial entries, short biographies of important figures in anthropology, and glossary items. The new entries reflect major changes in anthropology in the past decade: subdisciplines like medical anthropology have become more central to mainstream work in the discipline; recent work includes issues of gender and sexuality, and anthropology's new ethnographic engagement with the central institutions of modernity like finance and science. Anthropology is now an unequivocally global discipline, so the second edition explores other traditions of anthropological work (Japanese anthropology, Latin American anthropology) as well as the processes of globalization itself. Authoritative entries have been commissioned from among the world's leading anthropologists. Alphabetically organized, the main entries contain clear, concise and provocative explanations of key anthropological themes and ideas, as well as surveys of the most important ethnographic regions and regional traditions of ethnographic research. Each major entry contains cross-references and a list of further reading. 517 3 $aEncyclopedia of social and cultural anthropology 606 $aEthnology$vEncyclopedias 606 $aAnthropology$vEncyclopedias 615 0$aEthnology 615 0$aAnthropology 676 $a306.03 701 $aBarnard$b Alan$g(Alan J.)$0133241 701 $aSpencer$b Jonathan$f1954-$0141867 712 02$aCredo Reference (Firm) 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910969406503321 996 $aRoutledge encyclopedia of social and cultural anthropology$94408948 997 $aUNINA