Thomas, Sherin <br/><br/>
PyTorch Deep Learning Hands-On  :Build CNNs, RNNs, GANs, Reinforcement Learning, and more, quickly and easily 
/ Sherin Thomas with Sudhanshu Passi. 
 - 232 pages  : illustrations  ; 24 cm 
 - Expert insight. .
<br/><br/> Implement 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. 
<br/><br/><label>ISBN: </label>9781788834131 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning<br/>Neural networks (Computer science)<br/>Python (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>005.133