`Introduction <introyt/introyt1_tutorial.html>`_ ||
`Tensors <introyt/tensors_deeper_tutorial.html>`_ ||
`Autograd <introyt/autogradyt_tutorial.html>`_ ||
`Building Models <introyt/modelsyt_tutorial.html>`_ ||
`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
`Training Models <introyt/trainingyt.html>`_ ||
`Model Understanding <introyt/captumyt.html>`_

Introduction to PyTorch - YouTube Series
========================================

Authors: 
`Brad Heintz <https://github.com/fbbradheintz>`_

This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ 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 <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.

.. include:: /beginner_source/introyt/tocyt.txt

.. toctree::
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