Deep learning for natural language processing : (Record no. 346727)

MARC details
000 -LEADER
fixed length control field 01915nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field 0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712201803.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484246016
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Item number GOY
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Goyal, Palash.
245 ## - 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. Banglore
Name of publisher, distributor, etc. Apress
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 277 p.
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.<br/><br/>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 Seqzseq, 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.<br/><br/>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.<br/><br/>You will:<br/><br/>• Gain the fundamentals of deep learning and its mathematical prerequisites<br/><br/>• Discover deep learning frameworks in Python<br/><br/>• Develop a chatbot <br/><br/>• Implement a research paper on sentiment classification
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pandey, Sumit.
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Jain, Karan.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total checkouts Total renewals Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
  Not Missing Not Damaged   Gandhi Smriti Library Gandhi Smriti Library 2022-06-15 829.00 1 1 006.35 GOY 164210 2025-04-28 2022-06-16 2022-06-15 Books
  Not Missing Not Damaged   Gandhi Smriti Library Gandhi Smriti Library 2022-06-15 829.00 2   006.35 GOY c.1 164211 2024-06-09 2024-06-08   Books
  Not Missing Not Damaged   Gandhi Smriti Library Gandhi Smriti Library 2022-06-15 829.00     006.35 GOY c.2 164212 2022-06-15     Books
  Not Missing Not Damaged   Gandhi Smriti Library Gandhi Smriti Library 2022-06-15 829.00     006.35 GOY c.3 164213 2022-06-15     Books
  Not Missing Not Damaged   Gandhi Smriti Library Gandhi Smriti Library 2022-06-15 829.00     006.35 GOY c.4 164214 2022-06-15     Books

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