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