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Is the combination of high batch size and low epoch the same as that of low batch size and low epoch?

Sorry for the mistake in Question,

Is the combination of high batch size and low epoch the same as that of low batch size and high epoch?

Hey! I was just wondering …

If I try to generate High-resolution(128,128,3) images from Low resolution(32,32,3) images using GAN on a dataset of 1000 Images by following two methods :

Result_A: I run 100,000 epoch and batch_size =1 then my model will train on a total of 100,000 images. And this one image per epoch is selected randomly.

Result_B: I run 100 epochs on batch_size = 1000, then also my model trains on a total of 100,000 images.

Would Result_A be similar to Result_B? If not, why?

The differentiating factor is that in Result_B my model goes through all images, but it might not go through all images. Will this create a significant difference?

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