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`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
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`Training Models <introyt/trainingyt.html>`_ ||
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`Model Understanding <introyt/captumyt.html>`_
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Introduction to PyTorch - YouTube Series
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========================================
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Authors:
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`Brad Heintz <https://github.com/fbbradheintz>`_
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This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ on YouTube.
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`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
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Running the Tutorial Code
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-------------------------
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You can run this tutorial in a couple of ways:
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This page has been moved.
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- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
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- **Locally**: This option requires you to setup PyTorch and torchvision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.
`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
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`Training Models <introyt/trainingyt.html>`_ ||
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`Model Understanding <introyt/captumyt.html>`_
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Introduction to PyTorch - YouTube Series
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========================================
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Authors:
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`Brad Heintz <https://github.com/fbbradheintz>`_
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This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ on YouTube.
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`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
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Running the Tutorial Code
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-------------------------
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You can run this tutorial in a couple of ways:
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- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
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- **Locally**: This option requires you to setup PyTorch and torchvision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.
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