hey, first thanks for the great help of your code 。I using the dataset called cnceleb ,but i have faced a problem .As the training goes on the loss change to nan ,the features i feed in the net is mfcc features gained from libROSA . And i have been debugged it for about 2 weeks.
input = (64,24,126) (batchsize,feature_dim,num_of_mfcc )
Hi, I used to have the same issue: loss change to nan after first iteration.
Finally I fix it by simply remove dropout in tdnn. Hope this might help you :)
hey, first thanks for the great help of your code 。I using the dataset called cnceleb ,but i have faced a problem .As the training goes on the loss change to nan ,the features i feed in the net is mfcc features gained from libROSA . And i have been debugged it for about 2 weeks. input = (64,24,126) (batchsize,feature_dim,num_of_mfcc )