Regularization in Neural Networks
{"Image DocumentName": "Regularization in Neural Networks", "Image ImageDescription": "Choose a relatively large value for M and then control the complexity by the addition of a regularization term to the error function. The simplest regularizer is the quadratic. Weight decay regularizer. The effective model complexity is determined by the choice of the regularization coef\ufb01cient \u03bb.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}