| 000 | 00976nam a2200217Ia 4500 | ||
|---|---|---|---|
| 008 | 240825s9999 xx 000 0 und d | ||
| 020 |
_a9781484284964 _qpbk |
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| 041 | _aEnglish | ||
| 082 |
_a006.31 _bPAP |
||
| 100 | _aPaper, David | ||
| 245 | 0 |
_aState-of-the-art Deep Learning Models in Tensorflow _cDavid Paper _bModern Machine Learning in the Google Colab Ecosystem |
|
| 250 | _aReprint | ||
| 260 |
_bApress _c2023 _a[New York] |
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| 300 |
_a xxiv, 374 pages _c25 cm. |
||
| 500 | _aIncludes Index. | ||
| 520 | _aUse TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. | ||
| 650 | _aApprentissage automatique | ||
| 650 | _aApprentissage par renforcement (Intelligence artificielle) | ||
| 700 | _aDavid Paper | ||
| 942 | _cREF | ||
| 999 |
_c545181 _d545181 |
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