Which of the following statement is the best description of early stopping?
A)Train the network until a local minimum in the error function is reached
B)Simulate the network on a test dataset after every epoch of training. Stop training when the generalization error starts to increase
C)Add a momentum term to the weight update in the Generalized Delta Rule, so that raining converges more quickly
D)A faster version of backpropagation, such as the `Quickprop‟ algorithm
Answer:B
Which of the following statement is the best description of early stopping?
A)Train the network until a local minimum in the error function is reached B)Simulate the network on a test dataset after every epoch of training. Stop training when the generalization error starts to increase C)Add a momentum term to the weight update in the Generalized Delta Rule, so that raining converges more quickly D)A faster version of backpropagation, such as the `Quickprop‟ algorithm