MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01707nam a22002897i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250821114254.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250723s2021 ii ao||fr|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789389898118 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GaU |
| Transcribing agency |
EG-GaU |
| Modifying agency |
EG-GaU |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
006.31 |
| Item number |
P.S.G |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Patel, Sunil, |
| Relator term |
author. |
| 9 (RLIN) |
63120 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Getting Started with Deep Learning for Natural Language Processing : |
| Remainder of title |
learn how to build NLP applications with Deep Learning / |
| Statement of responsibility, etc. |
Sunil Patel. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
New Delhi : |
| Name of producer, publisher, distributor, manufacturer |
BPB Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
382 pages ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Understanding the basics of learning process -- 2. Text processing techniques -- 3. Representing language mathematically -- 4. Using RNN for NLP -- 5. Applying CNN in NLP tasks -- 6. Accelerating NLP with advanced embeddings -- 7. Applying deep learning to NLP tasks -- 8. Application of complex architectures in NLP -- 9. Understanding generative networks -- 10. Techniques of speech processing -- 11. The road ahead. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Covers foundational and advanced deep learning techniques applied to Natural Language Processing (NLP) using Python and PyTorch. Includes preprocessing, CNNs, RNNs, Transformers, GANs, speech processing, and practical applications in topic modeling, text generation, and more. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Deep learning. |
| 9 (RLIN) |
63119 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Natural language processing (Computer science). |
| 9 (RLIN) |
62030 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language). |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |