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Why should data batches in a neural network have an equal size?
Why should data batches in a neural network have an equal size?
I have seen some recent research works on making the batch size dynamic, but still, I can't find an answer to my question.
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Is there any relationship between the batch size and the number of epochs?
I am currently running a program with a batch size of 17 instead of batch size 32. The benchmark results are obtained at a batch size of 32 with the number of epochs 700.
Now I am running with batch ...
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