Natural Language Processing With PyTorch: Build intelligent language applications using deep learning (Record no. 2453)
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| 000 -LEADER | |
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| fixed length control field | 01898nam a22002297a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200219161750.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200117b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-93-5213-786-8 |
| 028 ## - PUBLISHER NUMBER | |
| Source | Allied Informatics, Jaipur |
| Bill Number | 7084 |
| Bill Date | 13/01/2020 |
| Purchase Year | 2019-20 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BSDU |
| Language of cataloging | English |
| Transcribing agency | BSDU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | RAO |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rao, Delip |
| 245 ## - TITLE STATEMENT | |
| Title | Natural Language Processing With PyTorch: Build intelligent language applications using deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Mumbai |
| Name of publisher, distributor, etc. | Shroff Publishers & Distributors Pvt. Ltd. |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 238 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | All Indian Reprints of O'Reilly are printed in Grayscale. 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. 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. •Explore computational graphs and the supervised learning paradigm •Master the basics of the PyTorch optimized tensor manipulation library •Get an overview of traditional NLP concepts and methods •Learn the basic ideas involved in building neural networks •Use embeddings to represent words, sentences, documents, and other features •Explore sequence prediction and generate sequence-to-sequence models •Learn design patterns for building production NLP systems |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PyTorch |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Language |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | McMahan, Brian |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Date acquired | Cost, normal purchase price | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
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| Not For Loan | Reference | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | 2020-01-17 | 1500.00 | 005.133 RAO | 018007 | 2020-02-12 | 1500.00 | 2020-01-17 | Books |