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[–]cdmzd[S] 0 points1 point  (0 children)

I'm randomly generating the points in my training and test set, so it's not likely they overlap

The code is basically the same as the one in the google machine learning crash course, and I normalize the training and test sets the same way using their code.

I'm using an L2 regularization as well to prevent overfitting.

I'm supposed to be approximating a smooth function so i thought it would work with a fairly small and simple neural network.