Mathematics of deep learning : (Record no. 93516)

MARC details
000 -LEADER
fixed length control field 02002cam a22003135i 4500
001 - CONTROL NUMBER
control field 22934169
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250527154000.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230119s2023 mau 000 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2023931034
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783111024318
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783111025551
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783111025803
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 BER-L
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Berlyand, Leonid
245 10 - TITLE STATEMENT
Title Mathematics of deep learning :
Remainder of title an introduction /
Statement of responsibility, etc. Leonid Berlyand and Pierre-Emmanuel Jabin
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Berlin
Name of publisher, distributor, etc. Walter De Gruyter
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent 126 p.
490 0# - SERIES STATEMENT
Series statement De Gruyter Textbook
500 ## - GENERAL NOTE
General note The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that this compact textbook will offer a complementary point of view that emphasizes the underlying mathematical ideas. We believe that a more foundational perspective will help to answer important questions that have only received empirical answers so far.<br/><br/>The material is based on a one-semester course Introduction to Mathematics of Deep Learning" for senior undergraduate mathematics majors and first year graduate students in mathematics. Our goal is to introduce basic concepts from deep learning in a rigorous mathematical fashion, e.g introduce mathematical definitions of deep neural networks (DNNs), loss functions, the backpropagation algorithm, etc. We attempt to identify for each concept the simplest setting that minimizes technicalities but still contains the key mathematics.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer -- Intelligence (AI) and Semantics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning) Mathematics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science) Mathematics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jabin, Pierre-Emmanuel,
Relator term author.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 0
b ibc
c orignew
d 2
e epcn
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
955 ## - COPY-LEVEL INFORMATION (RLIN)
Book number/undivided call number, CCAL (RLIN) xd05 2023-01-19
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad New Book Display (Welcome to Reserve) 31/03/2025   006.31 BER-L 49924 27/05/2025 27/05/2025 New books on display Display - 08
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

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