| 000 | 01449cam a2200313 i 4500 | ||
|---|---|---|---|
| 003 | SA-RiNAUS | ||
| 005 | 20230530110211.0 | ||
| 008 | 180108s2022 caua b 001 0 eng d | ||
| 020 | _a9789355420121 | ||
| 040 |
_aSA-RiNAUS _beng _cSA-RiNAUS _erda |
||
| 082 | 0 | 4 |
_a006.31 _221 _bB N F |
| 100 | 1 |
_aBuduma, Nikhil, _eauthor. _937416 |
|
| 245 | 1 | 0 |
_aFundamentals of deep learning : _bdesigning next-generation machine intelligence algorithms / _cNikhil Buduma ; with contributions by Nicholas Locascio. |
| 246 | 3 | 0 | _aDesigning next-generation machine intelligence algorithms |
| 250 | _asecond edition. | ||
| 264 | 1 |
_aSebastopol, CA : _bO'Reilly Media, _c2022 |
|
| 300 |
_axii, 373 pages : _billustrations (some color) ; _c24 cm |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aThe neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning. | |
| 650 | 4 |
_aArtificial intelligence _92900 |
|
| 650 | 4 |
_aMachine learning _937417 |
|
| 650 | 4 |
_aNeural networks (Computer science) _930334 |
|
| 650 | 4 |
_aDeep learning _937418 |
|
| 700 | 1 |
_aLocascio, Nicholas, _eauthor. _937421 |
|
| 942 |
_2ddc _cNEW |
||
| 999 |
_c34035 _d34034 |
||