Comments (2)
Hi, Feng
Thank you for the question!
We used a histogram of log_alpha, that turned out to be a distribution with two modes, modes were clearly separated at log_alpha ~ 3. Of course, the best you can do to plot an accuracy vs alpha on a validation set and choose the best for your problem.
Arsenii
from variational-dropout-sparsifies-dnn.
Thanks for the prompt reply.
from variational-dropout-sparsifies-dnn.
Related Issues (12)
- Will you make the code for the algorithm itself available?
- Details for reproducing LeNet-5 results in ICML paper HOT 1
- Cross entropy loss mutliplied by training set size
- How to run examples on CPU?
- Additive Noise Reparameterization HOT 5
- cudnn version? HOT 2
- failed to run on CPU HOT 2
- How to approximate the D_KL? HOT 4
- Блокнот и пример
- How to generate the dynamic image that shows the sparsity of weights through out the training as shown in README HOT 1
- Is it possible to compress already existing trained network? HOT 1
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from variational-dropout-sparsifies-dnn.