I think I’m rather confused at the moment.
I have a Dataset object. Each entry in the Dataset is a (Tensor, str). Should I change that to produce 2d vectors? I thought a Tensor was essentially a multidimensional vector, and that if I convert I’ll lose the benefits of using them?
From that I constructed DataLoader objects. Still figuring out how those work, but I think they’re used to load data in batches in parallel. Each has its own slice of the parent Dataset. How would I use this to train the model though? I seem to be missing that jump.