I have comment a problem while training a model for face recognition that when increasing num_output to 800k, the prob of each category became 1.0/800k and never channged!
I have tried the same network and optimization parameters with BVLC-CAFFE, it successfully became to convergence after 8k iterations.
How should I do ?
I have comment a problem while training a model for face recognition that when increasing num_output to 800k, the prob of each category became 1.0/800k and never channged! I have tried the same network and optimization parameters with BVLC-CAFFE, it successfully became to convergence after 8k iterations. How should I do ?