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jsjs0827
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Why do you change initial GoogleNet
Why do you change initial GoogleNet loss1 output from 1000 to 128? Also,why do you change the lr_mult simultaneously ?
Aug 17, 2018
The 128 issue: the author sets the embedding size of each submodel to 128, and finally obtains a 384 ensemble feature vector to represent each sample when testing. This embedding size is refer to "Deep metric
learning via lifted structured feature embedding"
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The text was updated successfully, but these errors were encountered: