Next: Momentum
Up: Neural Network Learning
Previous: Backpropagation Weight Training Rule
- halt after a fixed number of iterations
- once the error on the training examples falls below some
threshold
- once the error on a separate validation set of examples meets some criterion
- Important: too few - fail to reduce error sufficiently, too many
- overfit the data
Patricia Riddle
Fri May 15 13:00:36 NZST 1998