An epoch, in Machine Learning, is the entire processing by the learning algorithm of the entire train-set.
The MNIST train set is composed by 55000 samples.
Once the algorithm processed all those 55000 samples an epoch is passed.
An epoch, in Machine Learning, is the entire processing by the learning algorithm of the entire train-set.
The MNIST train set is composed by 55000 samples.
Once the algorithm processed all those 55000 samples an epoch is passed.