000 | 00946nam a2200217Ia 4500 | ||
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005 | 20250128102517.0 | ||
008 | 240825s9999 xx 000 0 und d | ||
020 |
_a9789391043421 _qpbk |
||
041 | _aeng | ||
082 |
_a006.31 _bPAP |
||
100 | _aPapa, Joe | ||
245 | 0 |
_aPytorch pocket reference _c/Joe Papa _bbuilding and deploying deep learning models |
|
250 | _a1st ed. | ||
260 |
_cc2021 _aSebastopol, CA _b O'REILLY MEDIA |
||
300 |
_axiv, 292 p. _bill. _c18 cm. |
||
500 | _aReprint, 2021 | ||
504 | _aindex | ||
520 | _aThis concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. | ||
650 | _aMachine Learning; Apprentissage automatique; Neural Networks | ||
942 | _cENGLISH | ||
999 |
_c542138 _d542138 |