How to Structure a PyTorch ML Project With Google Colab and TensorBoardby@michael-li
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How to Structure a PyTorch ML Project With Google Colab and TensorBoard

February 5th 2020
16 min
by @michael-li 3,089 reads
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This is a line-by-line guide on how to structure a PyTorch ML project from scratch using Google Colab and TensorBoard. We get our model from scratch for the Fashion-MNIST dataset from scratch. The code here can be used on Google. Colab Notebook and GitHub link below: #. You can build a fully functional neural network using Tensor computation alone, but this is not what this article is about. We’ll make use of the more powerful and convenientandclasses to quickly build our CNN.

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