Introduction || Tensors || Autograd || Building Models || TensorBoard Support || Training Models || Model Understanding
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.
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.
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