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Pytorch deep learning hands-on: apply modern AI techniques with CNNS, RNNS, GANs, reinforcement learning, and more
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...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2680080 |