From Research to Production with PyTorch
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- Опубліковано 14 жов 2024
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Video with transcript included: bit.ly/2l7vHfw
Jeff Smith covers some of the latest features from PyTorch - the TorchScript JIT compiler, distributed data parallel training, TensorBoard integration, new APIs, and more. He discusses some projects coming out of the PyTorch ecosystem like BoTorch, Ax, and PyTorch BigGraph. He digs into some of the use cases and industries where people are successfully taking PyTorch models to production.
This presentation was recorded at QCon New York 2019: bit.ly/2KFk7SO
The next QCon is Qcon San Francisco 2019 - Nov 11-13, 2019: bit.ly/2ZFJW9S
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#PyTorch #Facebook #ArtificialIntelligence
Cool talk. Easy to follow with just enough new information even for someone who's just been getting into ML/DL
Was Torchscript demonstrated within production demo?
What is self.fc1.forward? Why the suffix forward?
What is net.forward?
Goddamit jeff
Lul give the man some respect, he name JEFF