| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230315b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789352139095 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.32 |
| Item number |
POI |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Pointer, Ian |
| 245 ## - TITLE STATEMENT |
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| Title |
Programming PyTorch for deep learning : creating and deploying deep learning applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Shroff Publishers and Distributors, |
| Date of publication, distribution, etc |
2022 |
| Place of publication, distribution, etc |
Mumbai : |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 200 p. ; |
| Other physical details |
ill., (b & w), |
| Dimensions |
24 cm |
| 365 ## - TRADE PRICE |
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| Price amount |
900.00 |
| Price type code |
INR |
| Unit of pricing |
01 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Artificial intelligence |
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Machine learning |
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Python |
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Computer program language |
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| Topical term or geographic name as entry element |
Adversarial samples |
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| Topical term or geographic name as entry element |
Argmax ()function |
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| Topical term or geographic name as entry element |
Convolutional neural networks (CNNs) |
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| Topical term or geographic name as entry element |
CrossEntropy Loss() function |
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| Topical term or geographic name as entry element |
Environmental sound classification(ESC) |
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| Topical term or geographic name as entry element |
Frequency domain |
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| Topical term or geographic name as entry element |
Generative adversarial networks (GANs) |
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| Topical term or geographic name as entry element |
Image classification |
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| Topical term or geographic name as entry element |
Jupyter Notebook |
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Kubernetes(K8s) |
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| Topical term or geographic name as entry element |
Memory (LSTM) Networks |
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| Topical term or geographic name as entry element |
Pretrained models |
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| Topical term or geographic name as entry element |
ResNet architecture |
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| Topical term or geographic name as entry element |
Transfer learning |
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| Topical term or geographic name as entry element |
ULMFIT |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Item type |
Books |