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For questions related to the concept of loss (or cost) in machine learning or other AI sub-fields.

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Is it okay to calculate the validation loss over batches instead of the whole validation set...

I have about 2000 items in my validation set, would it be reasonable to calculate the loss/error after each epoch on just a subset instead of the whole set, if calculating the whole dataset is very slow … Would taking random mini-batches to calculate loss be a good idea as your network wouldn't have a constant set? Should I just shrink the size of my validation set? …