Iterations are the number of steps through batches of the training data needed to complete one epoch.
From the above values, 64 samples will be taken each time through the neural network forward and backward. This constitutes one iteration.
Therefore, if you are loading 64 images at a time (in one batch), to go through all 5000 images, you will need 5000 / 64 = about 78 iterations.
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