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:

• On 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 set up PyTorch and torchvision on your local machine (installation instructions). Download the notebook or copy the code into your favorite IDE.