| 000 | 01075nam a22002897a 4500 | ||
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| 005 | 20230512223915.0 | ||
| 008 | 220812t xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9780262039512 | ||
| 040 | _cCSPC | ||
| 050 | 0 |
_aQ325.7 _bC43 |
|
| 082 | 0 |
_a006.31 _bC382i |
|
| 100 |
_aCharniak, Eugene, _eauthor. |
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| 245 | 0 | 0 |
_aIntroduction to deep learning / _cEugene Charniak. |
| 260 |
_aCambridge, MA : _bThe MIT Press, _c2018. |
||
| 300 |
_axii, 174 pages : _c24 cm. |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
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| 500 | _aIncludes index. | ||
| 504 | _aIncludes bibliographical references. | ||
| 520 | _aFeed-Forward Neutral Nets – TensorFlow – Convolutional Neutral Networks – Word Embeddings and Recurrent NNs – Sequence-to-Sequence Learning – Deep Reinforcement Learning – Unsupervised Neutral-Network Models | ||
| 650 | 1 | 0 | _aComputational learning theory. |
| 940 | _amae | ||
| 942 |
_cBOOK _jCIR 006.31 C382i 2018 |
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| 999 |
_c12236 _d12236 |
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