Deep Learning for Data Architects : (Record no. 11870)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01114nam a22002657i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250813142108.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250813s2024 ii a|||ff|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789355515391 |
| 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 | 006.3 |
| Item number | K.S.D |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Khandelwal, Shekhar |
| Relator term | author. |
| 9 (RLIN) | 62553 |
| 245 10 - TITLE STATEMENT | |
| Title | Deep Learning for Data Architects : |
| Remainder of title | unleash the power of Python’s deep learning algorithms / |
| Statement of responsibility, etc. | Shekhar Khandelwal. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #4 - 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 | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 243 pages : |
| Other physical details | illustrations ; |
| 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 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | A practical guide bridging data architecture with deep learning—covering Python-based neural networks such as CNNs, RNNs, GANs, and Transformer models, along with hands-on implementations for real-world problem-solving. |
| 650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Deep learning |
| 650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data architecture. |
| 9 (RLIN) | 62554 |
| 650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Media and mass communication Library | Media and mass communication Library | B4 | 09/01/2025 | 1 | 006.3 K.S.D | MA0003221 | 10/28/2025 | 10/21/2025 | C.1 | 09/01/2025 | Books |