Deep learning (Record no. 567569)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01806 a2200169 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119861867 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | M366d |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Martinez-Ramon, Manel |
| 245 ## - TITLE STATEMENT | |
| Title | Deep learning |
| Remainder of title | a practical introduction |
| Statement of responsibility, etc | Manel Martinez-Ramon, Meenu Ajith and Aswathy Rajendra Kurup |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Wiley |
| Year of publication | 2024 |
| Place of publication | Hoboken |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxiii, 392p |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. <br/>Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: <br/>• Thorough introductions to deep learning and deep learning tools<br/>• Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures<br/>• Practical discussions of recurrent neural networks and non-supervised approaches to deep learning<br/>• Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networks<br/>Perfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general. <br/><br/><br/><br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Deep learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ajith, Meenu |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kurup, Aswathy Rajendra |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| On Display | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 21/07/2025 | 2 | 7082.62 | 006.31 M366d | A186917 | 9443.50 | Books |