AmosJoseph

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啥时候更新呢?

dropout_rate is to mitigrate over-fitting. What's the relationship between dropout_rate and DropoutUncertainty? Must dropout_rate be used for uncertainty quantification?

Y = F(X1, .., X9), 9 independent variables(dimensions), varying X and varying Y. then is it efficient to employ sparse dd-pce?

Thank you for your reply! The neural net has been trained and tested with good accuracy. Then how to maximize the output of the neural net in the input domain?...

Yes. Find the inputs (not the neural network itself) so that their outputs are maximum. Then how to implement this? Best! 发自我的iPhone ------------------ Original ------------------ From: Ahmed Gad ***@***.***> Date: Fri,Jul...