A batch is the total number of training examples present in a single batch and aniteration is the number of batches needed to complete one epoch.
For example: If we divide a dataset of 2000 training examples into 500 batches, then 4 iterations will complete 1 epoch.
https://www.quora.com/What-is-an-epoch-in-deep-learning
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