`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:: :hidden: