![]() ![]() ![]() [Validation Check = 6: If training, the training error is not smaller, it is assumed to continue training, and stop training. Gradient: If the gradient is 0, it is the lowest point of the image, that is, the optimal location Welcome: Gradient Gradient MU? VAL FAIL? Longitudinal coordinates: mean square errorįrom the figure, you can get: At EPOCHS = 5, the verification set ValiaDation and test set TEST reach the minimum mean square error. ![]() Generate an image: Ĭoordinate: EPOCHS number at the end of training Select Optimization Algorithm: By default, click Train to trainĦ. Set training set / verification set / test machine ratio: Ĥ. The input feature X and the target value y is as follows: ģ.
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