Title:
An overview of deep learning frameworks and an introduction to PyTorch

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Author(s)
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.
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Date Issued
2017-09-06
Extent
69:25 minutes
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Moving Image
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Lecture
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