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
    For more awesome presentations on innovator and early adopter topics check InfoQ’s selection of talks from conferences worldwide bit.ly/2tm9loz
    #PyTorch #Facebook #ArtificialIntelligence

КОМЕНТАРІ • 6

  • @saulo2264
    @saulo2264 4 роки тому +1

    Cool talk. Easy to follow with just enough new information even for someone who's just been getting into ML/DL

  • @user-or7ji5hv8y
    @user-or7ji5hv8y 4 роки тому

    Was Torchscript demonstrated within production demo?

  • @user-or7ji5hv8y
    @user-or7ji5hv8y 3 роки тому

    What is self.fc1.forward? Why the suffix forward?

  • @user-or7ji5hv8y
    @user-or7ji5hv8y 3 роки тому

    What is net.forward?

  • @pradeepkumar-qo8lu
    @pradeepkumar-qo8lu 5 років тому

    Goddamit jeff

  • @dian_dian
    @dian_dian 5 років тому

    Lul give the man some respect, he name JEFF