How sub_sample the weights?
Opened this issue · 5 comments
@markshih91, I want to training the model on my dataset that have two classess, how to sub-sample the weight tensors of all the classification layers?
The original writer of this SSD implementation has a very nice tutorial for that: https://github.com/pierluigiferrari/ssd_keras/blob/master/weight_sampling_tutorial.ipynb
yes, I have tried it, and change the layers name from conv4_3_norm_mbox_conf
to ssd_cls1conv2
, but it show that bias:0
does not exist after running.
Well I can't help you, I haven't tried it myself...
yes, I have tried it, and change the layers name from
conv4_3_norm_mbox_conf
tossd_cls1conv2
, but it show thatbias:0
does not exist after running.
I met the problem,too. Have you solve it? Please help me.