xiaoyaoxiaoxian

> Hi, > > As a new learner in deep learning, > I'm a little puzzled about the cost definition, > > `def my_crossentropy(y_true, y_pred): return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_pred, y_true),...

thanks

>  > > I created a plot to show the difference. The blue and orange lines are showing the result of correct usage. The red and green ones are...

> The gain of -1 is set if there is no (or just low) signal energy whether in the clean speech nor in the noise. In that case it doesn't...

> These questions are already answered. > > Tanh vs ReLU: > #58 > #79 > > For the amount of training data see: > https://jmvalin.ca/papers/rnnoise_mmsp2018.pdf Thanks. I checked the...

> I followed to change the my_crossentropy() to have the y_true as the first argument and y_pred as the second argument in > def my_crossentropy(y_true, y_pred): > return K.mean(2*K.abs(y_true-0.5) *...