| 000 | 01149nam a22002297a 4500 | ||
|---|---|---|---|
| 005 | 20260720150344.0 | ||
| 008 | 260720s2025 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781718504202 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a006.31 _bKNE-P |
||
| 100 | 1 |
_aKneusel, Ronald T. _95557 |
|
| 245 | 1 | 0 |
_aPractical deep learning : _ba Python-based introduction / _cRonald T. Kneusel |
| 250 | _a2nd ed. | ||
| 260 |
_aSan Francisco : _bNo Starch Press, _c2025 |
||
| 300 | _axxxii, 551 p. | ||
| 500 | _aIndex present | ||
| 520 | _a"An introduction to machine learning and deep learning for beginners. Covers fundamental concepts before presenting classic machine learning models, neural networks, and modern convolutional neural networks. New to this edition: Material on computer vision, fine-tuning and transfer learning, localization, self-supervised learning, generative AI for novel image creation, and large language models for in-context learning, semantic search, and retrieval-augmented generation (RAG)"-- Provided by publisher | ||
| 546 | _aEng | ||
| 650 | _aMachine learning | ||
| 650 |
_aPython (Computer program language) _93584 |
||
| 942 | _cBK | ||
| 999 |
_c141513 _d141513 |
||