Deep learning with PyTorch (Record no. 172611)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01464 a2200241 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240508020003.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240428b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781617295263 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Item number | STE-D |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Stevens, Eli |
| 245 ## - TITLE STATEMENT | |
| Title | Deep learning with PyTorch |
| Statement of responsibility, etc | by Eli Stevens, Luca Antiga, and Thomas Viehmann |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | New York : |
| Name of publisher, distributor, etc | Manning, |
| Date of publication, distribution, etc | ©2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxviii, 490 p. : |
| Other physical details | ill. ; |
| Dimensions | 24 cm. |
| 501 ## - WITH NOTE | |
| With note | Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Title | Part 1. Core PyTorch. 1. Introducing deep learning and the PyTorch library 2. Pretrained networks 3. It starts with a tensor 4. Real-world data representation using tensors 5. The mechanics of learning 6. Using a neural network to fit the data 7. Telling birds from airplanes: learning from images 8. Using convolutions to generalize |
| -- | Part 2. Learning from images in the real world: early detection of lung cancer. 9. Using PyTorch to fight cancer 10. Combining data sources into a unified dataset 11. Training a classification model to detect suspected tumors 12. Improving training with metrics and augmentation 13. Using segmentation to find suspected nodules 14. End-to-end nodule analysis, and where to go next Part 3. Deployment. 15. Deploying to production. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Neural networks |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Antiga, Luca |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Viehmann, Thomas |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Koha issues (borrowed), all copies | 1 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Bill No. | Bill Date | Cost, normal purchase price | PO No. | PO Date | Total Checkouts | Full call number | Barcode | Due Date | Date last seen | Date checked out | Cost, replacement price | Price effective from | Vendor/Supplier | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Computer Science and Engineering | IIITD | IIITD | Reference | 27/04/2024 | TB238 | 2024-03-30 | 3718.66 | Email-29-03-2024 | 2024-03-29 | 1 | CB 006.32 STE-D | 012944 | 06/06/2024 | 07/05/2024 | 07/05/2024 | $49.99 | 27/04/2024 | Technical Bureau Private Limited | Books | DBT Project Grant |