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Practical: Datasets and dataloaders
A link to a Colab notebook, which uses PyTorch Dataset and Dataloader objects to train a deep learning network on the MNIST hand-written digits data.
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How to use datasets and dataloaders in PyTorch.
In the linked Colab notebook we will demonstrate PyTorch datasets and dataloaders using the MNIST handwritten digits dataset included with PyTorch. We’ll then use our exisinting network and training code to train our network using this data.
In the notebook we will cover the following:
- PyTorch datasets, in particular the MNIST dataset
- PyTorch dataloaders
- using datasets and dataloaders with our existing code
- training and testing the network using the MNIST data.
Follow the link below and work through the Colab notebook step by step.
You may wish to open the link in a new browser tab so you can refer back here quickly.
Please leave any questions or comments below.
