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Training is deemed more stable for low output target values.
it was used by initial caffe code, and thus it makes this training compatible with a pretrained model from caffe.
div_flow is used for 2 reasons :
Training is deemed more stable for low output target values.
it was used by initial caffe code, and thus it makes this training compatible with a pretrained model from caffe.
I try to answer my own question. HaHa! I referred to this answer.
How to understand the "training for multiple flow" and the "div_flow" #28
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