Deep learning for natural language processing (Record no. 222710)

MARC details
000 -LEADER
fixed length control field 03219nam a22004575i 4500
001 - CONTROL NUMBER
control field ssj0002037945
003 - CONTROL NUMBER IDENTIFIER
control field WaSeSS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220428154746.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180626s2018 xxu| o |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484236857
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-3685-7
Source of number or code doi
040 ## - CATALOGING SOURCE
Modifying agency WaSeSS
Transcribing agency AIMIT LIBRARY
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMA
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM014000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM018000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Edition number 1
Item number GOYP
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number EBOOK
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha Dewey Subclass [OBSOLETE] 03647955
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Goyal, Palash.
9 (RLIN) 32757
245 10 - TITLE STATEMENT
Title Deep learning for natural language processing
Remainder of title creating neural networks with python /
Statement of responsibility, etc. By Palash Goyal, Sumit Pandey and Karan Jain.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Berkeley, CA :
Name of publisher, distributor, etc. Apress :
-- Imprint: Apress,
Date of publication, distribution, etc. 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xvii,277p. ;
Other physical details PB
Dimensions 23.5 cm
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction to NLP and Deep Learning -- Chapter 2: Word Vector representations -- Chapter 3: Unfolding Recurrent Neural Networks -- Chapter 4: Developing a Chatbot -- Chapter 5: Research Paper Implementation: Sentiment Classification.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Requires an SPL library card.
520 ## - SUMMARY, ETC.
Summary, etc. Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You?ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. You will: Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science
9 (RLIN) 32758
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers
9 (RLIN) 32759
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
9 (RLIN) 32760
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pandey, Sumit.
9 (RLIN) 32761
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jain, Karan.
9 (RLIN) 32762
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484236840
856 40 - ELECTRONIC LOCATION AND ACCESS
Link text View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
Uniform Resource Identifier <a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484236857/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484236857/?ar</a>
Public note An e-book available through full-text database.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Edition 1st
Call number prefix 006.35 GOYP
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date due Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MCA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology 03/24/2022 Biblios Book Point 829.00 Bill no:6623; Bill dt:2022-03-23 1 006.35 GOYP MCA17044 12/08/2023 11/08/2023 11/08/2023 663.20 04/28/2022 Book