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I train the mnist example with your code and save the ".tn" weights.
Then I use caffe test to load the model by "--weights=....".
Using ".caffemodel", I get a high accuracy(about 0.98).
But when it change to the corresponding ".caffemodel.tn", the accuracy drop to about 0.1 .
I then use the debug model to run the code. The debug information shows that it apply the twn reading mode to read the *.caffemodel.tn" file but the values seem to be wrong.
Can you tell me where I went wrong and how can I load your ".caffemodel.tn" weights into the net?
Something else:
Also, I read the issue "the weight of InnerProduct layer #4", reading the code help me a little but not enough. Maybe because I am a new learner.
The text was updated successfully, but these errors were encountered:
Thanks for sharing these code!
I train the mnist example with your code and save the ".tn" weights.
Then I use caffe test to load the model by "--weights=....".
Using ".caffemodel", I get a high accuracy(about 0.98).
But when it change to the corresponding ".caffemodel.tn", the accuracy drop to about 0.1 .
I then use the debug model to run the code. The debug information shows that it apply the twn reading mode to read the *.caffemodel.tn" file but the values seem to be wrong.
Can you tell me where I went wrong and how can I load your ".caffemodel.tn" weights into the net?
Something else:
Also, I read the issue "the weight of InnerProduct layer #4", reading the code help me a little but not enough. Maybe because I am a new learner.
The text was updated successfully, but these errors were encountered: