`Introduction `_ ||
`Tensors `_ ||
`Autograd `_ ||
`Building Models `_ ||
`TensorBoard Support `_ ||
`Training Models `_ ||
`Model Understanding `_
Introduction to PyTorch - YouTube Series
========================================
Authors:
`Brad Heintz `_
This tutorial follows along with the `PyTorch Beginner Series `_ on YouTube.
`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
Running the Tutorial Code
-------------------------
You can run this tutorial in a couple of ways:
- **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*
- **Locally**: This option requires you to setup PyTorch and torchvision first on your local machine (`installation instructions `_). Download the notebook or copy the code into your favorite IDE.
.. include:: /beginner_source/introyt/tocyt.txt
.. toctree::
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