Epoch

One complete pass through all training examples. Training typically requires many epochs before convergence. Each epoch gives every training example a chance to update the weights.

One complete pass through the entire training dataset. Networks typically train for many epochs — sometimes hundreds — before converging. Each epoch gives every training example the chance to update the weights.