Natural language processing with PyTorch : (Record no. 7751)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01371nam a2200205 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220301b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352137688 (pbk.) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.35 |
| Item number | RAO |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rao, Delip |
| 245 ## - TITLE STATEMENT | |
| Title | Natural language processing with PyTorch : |
| Remainder of title | build intelligent language applications using deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Mumbai |
| Name of publisher, distributor, etc. | O'Reilly Media |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 238p., |
| 500 ## - GENERAL NOTE | |
| General note | https://www.shroffpublishers.com/books/9789352137688/ |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.<br/><br/>Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Natural language processing - Computer science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python-Computer program language |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | McMahan, Brian |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 572 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 559 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 481 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 760 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | bill no. | bill date | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date checked out | Price effective from | Koha item type | Checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Computer science | 511/21-22 | 15/02/2022 | Plaksha University Library | Plaksha University Library | 01/03/2022 | T V Enterprises | 1500.00 | 8 | 2 | 006.35 RAO | 002807 | 08/02/2024 | 27/08/2023 | 01/03/2022 | Book | |||||
| Dewey Decimal Classification | Computer science | 511/21-22 | 15/02/2022 | Plaksha University Library | Plaksha University Library | 01/03/2022 | T V Enterprises | 1500.00 | 10 | 4 | 006.35 RAO | 002808 | 29/08/2024 | 29/08/2024 | 01/03/2022 | Book | 13/09/2024 |