A video discussing the importance of datasets and dataloaders to the deep learning training process.
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Any deep learning project will need a way to efficiently handle your data.
This is where datasets and dataloaders come in. These are objects in PyTorch, but similar object types exist in other platforms. In the video we will look at:
the PyTorch dataset: what the object does, and how we implement it
the PyTorch dataloader: how does this differ from a dataset?