| 000 | 00919nam a22002175i 4500 | ||
|---|---|---|---|
| 999 |
_c29841 _d29841 |
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| 003 | CUTN | ||
| 005 | 20190820153332.0 | ||
| 008 | 180816s2018 nyu 000 0 eng | ||
| 020 | _a9781484237892 (hard : alk. paper) | ||
| 041 | _aEnglish | ||
| 042 | _apcc | ||
| 082 |
_2 23 _a006.31 _bMIC |
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| 100 | _a Michelucci,Umberto | ||
| 245 | 0 | 0 |
_aApplied deep learning : _ba case-based approach to understanding deep neural networks / _c[edited by] Umberto Michelucci. |
| 260 |
_a NY : _b Apress, _c 2018. |
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| 505 |
_t Chapter 1: Computational Graphs and TensorFlow; How to Set Up Your Python Environment _tChapter 2: Single NeuronThe Structure of a Neuron _tChapter 3: Feedforward Neural Networks _t Chapter 4: Training Neural Networks _tChapter 5: Regularization _tChapter 6: Metric Analysis. |
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| 942 |
_2ddc _cBOOKS |
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| 263 | _a1808 | ||
| 906 |
_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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