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Published 20 hours ago • verified publisher icon tanakataiki

Training

Open tanakataiki opened this issue 7 years ago • 3 comments

As I customed ssd for relatively log time. I found it pretty hard to train by means of hyper parameter setting and sensitivity of architecture. If your have environment to train then Upload your weights is very welcome let's make it better.

tanakataiki avatar May 06 '18 05:05 tanakataiki

Hi, may I recomment the users uploading their weights in folder "YourFineTunedWeights" to communicate also the dataset used doing training ? It should be beneficial for the other users doing Transfer learning with those.

algila avatar Nov 17 '18 15:11 algila

It's good idea.

tanakataiki avatar Nov 19 '18 01:11 tanakataiki

hi,i just train my model SSD300shufflnetV2 by following your strategy in SSD_train.ipynb ,but it seems hard to converge to a low loss (loss=4) . is there something wrong? thanks for your help

E12dward avatar May 02 '19 05:05 E12dward