Open wavefancy opened 5 years ago
Hi,
Thank you for your interests. For the higher level concept, you can see the appendix C of python code for this paper. Concrete dropout https://arxiv.org/abs/1705.07832
The concrete relaxation (variational dropout) code is here: https://github.com/zzzace2000/dropout-feature-ranking/blob/master/arch/binary/ConcreteNeuron.py
Hope it helps!
Best, Chun-Hao
Thank you very much for your help!
Best regards Wallace
On Sun, Jan 13, 2019 at 6:49 AM Kingsley Chun-Hao Chang < notifications@github.com> wrote:
Hi,
Thank you for your interests. For the higher level concept, you can see the appendix C of python code for this paper. Concrete dropout https://arxiv.org/abs/1705.07832
The concrete relaxation (variational dropout) code is here:
https://github.com/zzzace2000/dropout-feature-ranking/blob/master/arch/binary/ConcreteNeuron.py
Hope it helps!
Best, Chun-Hao
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/zzzace2000/dropout-feature-ranking/issues/1#issuecomment-453823112, or mute the thread https://github.com/notifications/unsubscribe-auth/ABZncuUlfpmtNOtw_iHBkq-aOMiq40LRks5vCx1PgaJpZM4Z7qfa .
Please help me to run the droput-bsed-feature selction code using mlp_python? I have cloned it to cpolab..and downloaded support.csv from Support2.. but kind run the simplest code so that I can view results. Please help me Sir
Hi Chun-Hao Chang,
Can you please kindly point me where's your implementation of the variational dropout, I am very interested in using your model in our project, but I am a freshman on deep learning, so I am got lost in our scripts.
Thanks much for your help in advance.
Best regards Wallace