PyTorch Deep Learning Hands-On :Build CNNs, RNNs, GANs, Reinforcement Learning, and more, quickly and easily / Sherin Thomas with Sudhanshu Passi.
Material type: TextSeries: Expert insightPublisher: Birmingham : Packt Publishing, Limited, [2019]Copyright date: ©2019Description: 232 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9781788834131
- 005.133
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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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 |
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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