000 | 01251cam a2200265 i 4500 | ||
---|---|---|---|
008 | 200909n2019 af 001 0 eng u | ||
020 | _a9781788834131 | ||
035 | _a(Sirsi) a2089 | ||
082 | 0 | 0 | _a005.133 |
100 | 1 |
_aThomas, Sherin _e, author _98447 |
|
245 | 1 | 0 |
_aPyTorch Deep Learning Hands-On _b:Build CNNs, RNNs, GANs, Reinforcement Learning, and more, quickly and easily _c/ Sherin Thomas with Sudhanshu Passi. |
264 | 1 |
_aBirmingham : _bPackt Publishing, Limited, _c [2019]. |
|
264 | 4 | _c©2019. | |
300 |
_a232 pages _b: illustrations _c; 24 cm |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
490 | 0 | _aExpert insight. | |
520 | _aImplement every major architecture of deep learning in PyTorch. Starting with simple neural networks, it covers PyTorch for computer vision (CNN), natural language (RNN), GANs, and reinforcement learning. It covers deep learning workflows, migrating models to TorchScript, and deploying to efficient production environments. | ||
596 | _a1 3 | ||
650 | 0 |
_aMachine learning _92745 |
|
650 | 0 |
_aNeural networks (Computer science) _93761 |
|
650 | 0 | _aPython (Computer program language) | |
700 | 1 |
_aPassi, Sudhanshu _e, author _98448 |
|
999 |
_c2616 _d2616 |