mobilenet_v2_ssdlite_keras
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How sub_sample the weights?
@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...
Ok Thanks
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------------------ Original ------------------ From: Théo Morales <[email protected]> Date: Wed,Sep 18,2019 0:20 AM To: markshih91/mobilenet_v2_ssdlite_keras <[email protected]> Cc: zhoujinhai <[email protected]>, Author <[email protected]> Subject: Re: [markshih91/mobilenet_v2_ssdlite_keras] How sub_sample the weights? (#3)
Well I can't help you, I haven't tried it myself...
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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.