Too many iterations in ONE EPOCH?
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Dear authors,
Thanks for your great open-source work. I have a question regarding the training:
In each epoch, the number of iterations equals to the number of images. However, in each iteration, the input is a whole video which contains 36 images. That said, in average, one image is trained 36 times in the same epoch. In general, I think a common way is to set the number of iterations to be equal to the number of videos, such that one image is only seen once in each epoch. I am wondering why there are such many iterations in one epoch? Is it specially set for the method, or just for a convenient implementation?
Thanks a lot! Look forward hearing from you.
May I know what is the performance of the first epoch and first few epochs? It would be very helpful for us as a reference. Thanks.