batch, epoch, iteration

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