Mixture Density Network: determine the parameters of each Gaussian component
Actually, the upper alpha and the upper sigma are not free parameters to be set, they are just used to represent the output activations corresponding to the mixture coefficients and the variances, respectively. They are used to distinguish derivatives with respect to the alpha and sigma. I say it from page 275 of the book “pattern recognition and machine learning” by Christopher Bishop”: