| 000 | 01212 a2200205 4500 | ||
|---|---|---|---|
| 005 | 20260902130101.0 | ||
| 020 | _a9789347227417 | ||
| 080 | _a004.85 RET | ||
| 100 |
_aRethinavalli, S. _94022 |
||
| 245 | _aDeep learning: techniques and models / by S. Rethinavalli, and S. Hareesh | ||
| 250 | _a1st edition. | ||
| 260 |
_aChennai: _bNational Academic Press, _c2026. |
||
| 300 |
_avi, 186 p. _c23.5 cm. |
||
| 520 | _aDeep Learning: Techniques and Models offers a comprehensive introduction to the rapidly evolving world of artificial intelligence and neural networks. The book explores core concepts such as convolutional and recurrent neural networks, deep belief systems, generative models, and reinforcement learning. It emphasizes both theoretical understanding and practical implementation, making it an ideal guide for students, researchers, and professionals in computer science and data analytics. With clear examples and structured explanations, this text serves as a valuable resource for mastering deep learning architectures and applications. | ||
| 650 |
_aDeep learning _94021 |
||
| 650 |
_aMachine learning _93940 |
||
| 650 |
_aNeural networks _94023 |
||
| 700 |
_aHareesh, S. _94024 |
||
| 942 | _cBK | ||
| 999 |
_c5628 _d5623 |
||