Deep Learning (Record no. 38056)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01934nam a22001937a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 978-9367138663 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.313 SRI |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Sridhar S |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Narashiman D |
| 245 ## - TITLE STATEMENT | |
| Title | Deep Learning |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Pearson Education |
| Place of publication | New Delhi |
| Year of publication | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 696 |
| Other physical details | Item Weight : 829 g Dimensions : 23.5 x 17.2 x 2.7 cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The book covers major deep learning architectures, including Convolutional Neural Networks (CNNs) and Object Detection Networks, with discussions on R-CNN family algorithms, YOLO networks and image segmentation networks. Advanced CNN architectures such as AlexNet, VGGNet, InceptionNet, and ResNet are presented alongside transfer learning applications. The concepts of autoencoders and Recurrent Neural Networks (RNNs), including LSTMs and GRUs, are also introduced. Beyond CNNs, the book also explores Generative AI, covering Large Language Models (LLMs) such as ChatGPT and Generative Adversarial Networks (GANs). It introduces advanced topics like Transformer architectures, along with dedicated chapters on Restricted Boltzmann Machines (RBMs), Deep Belief Networks (DBNs), and Deep Reinforcement Learning algorithms.<br/><br/>Features –<br/><br/>📚 Deep learning concepts are presented in a clear, concise, and approachable manner, making complex topics easy to understand.<br/><br/>🔍 Hands-on Learning with an online Keras lab manual, enabling practical implementation of deep learning algorithms.<br/><br/>🌟 Extensive solved numerical problems, providing clarity and reinforcing deep learning concepts.<br/><br/>🎯 Comprehensive learning support, including summaries, glossaries, conceptual questions, numerical problems, and multiple-choice questions.<br/><br/>💡 Engaging pedagogical techniques, such as crossword puzzles and jumbled words, to reinforce key concepts. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | CSE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Damaged status | |
| Not for loan | |
| Withdrawn status | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science and Engineering | VAST Central Library | VAST Central Library | S-23/CS | 14/11/2025 | Minerva Books | 789.00 | 86 | 006.313 SRI | 38166 | 01/12/2025 | Text Book |