PyTorch Deep Learning Hands-On :Build CNNs, RNNs, GANs, Reinforcement Learning, and more, quickly and easily / Sherin Thomas with Sudhanshu Passi.

By:

Thomas, Sherin [, author]

Contributor(s):

Passi, Sudhanshu [, author]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781788834131

Subject(s):

DDC classification:

005.133

Summary: 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.

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Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Text Books	UPM Female Campus Library FR	Computer and Cyber Sciences	005.133 TSP (Browse shelf(Opens below))	C.1	Available	UPM0000005470
Text Books	UPM Female Campus Library FR	Computer and Cyber Sciences	005.133 TSP (Browse shelf(Opens below))	C.2	Available	UPM0000005471
Text Books	UPM Male Campus Library FR	Computer and Cyber Sciences	005.133 TSP (Browse shelf(Opens below))	C.3	Available	UPM0000005472
Text Books	UPM Male Campus Library FR	Computer and Cyber Sciences	005.133 TSP (Browse shelf(Opens below))	C.4	Available	UPM0000005468
Text Books	UPM Male Campus Library FR	Computer and Cyber Sciences	005.133 TSP (Browse shelf(Opens below))	C.5	Available	UPM0000005469

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Previous	005.133 SWA Absolute Java \ Walter Savitch, University of California, San Diego; contributor, Kenrick Mock, University of Alaska Anchorage.	005.133 SWA Absolute Java \ Walter Savitch, University of California, San Diego; contributor, Kenrick Mock, University of Alaska Anchorage.	005.133 TGS Starting out with Java : early objects /	005.133 TSP PyTorch Deep Learning Hands-On :Build CNNs, RNNs, GANs, Reinforcement Learning, and more, quickly and easily	005.133 TSP PyTorch Deep Learning Hands-On :Build CNNs, RNNs, GANs, Reinforcement Learning, and more, quickly and easily	005.133 WPP The practice of computing using Python /	005.133 YLI Introduction to programming using Python	Next

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.

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