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A term that is often used in the context of machine learning. An epoch is one complete presentation of the data set to be learned to a learning machine.
Learning machines like feedforward neural nets that use iterative algorithms often need many epochs during their learning phase.
A discriminant classifier is also a learning machine. However, in contrast with neural nets a discriminant classifier only needs one epoch to learn.
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