Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
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problems of implementing the cost function with covariance diagonal matrix
It's really an excellent work which helps me a lot. Recently, i'd like to implement a cost function with covariance diagonal matrix, which has been told not necessary in the original paper. However, i just want to try that. During the process, i've met a problem that the |∑| always leads to inf when the dimension of output features increase, which leads the model can't converge. Any ideas about that? @axelbrando