This applet illustrates the generalization capabilities of the multi-layer perceptrons. The two sets are necessary to study generalization in a systematic manner. The original applet was written by Olivier Michel .
Instructions Use the popup menu to choose learning points for training or cross-validation.
The graph will display in black the error on the training set and in green the error on the cross-validation set. Applet Questions For all questions except the last, leave the decay parameter zero. Then, add cross-validation points in each cluster. To be realistic, the cross-validation points should be of the same color as training points in the same cluster. Run learning for about 100 iteration and observe the resulting error graphs.