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    An overview of deep learning frameworks and an introduction to PyTorch

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    Date
    2017-09-06
    Author
    Chintala, Soumith
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    Abstract
    In this talk, you will get an exposure to the various types of deep learning frameworks – declarative and imperative frameworks such as TensorFlow and PyTorch. After a broad overview of frameworks, you will be introduced to the PyTorch framework in more detail. We will discuss your perspective as a researcher and a user, formalizing the needs of research workflows (covering data pre-processing and loading, model building, etc.). Then, we shall see how the different features of PyTorch map to helping you with these workflows.
    URI
    http://hdl.handle.net/1853/58786
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    • Machine Learning@Georgia Tech Seminars [52]

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