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I am trying to learn how to use Densenet, so i started with this repository. When i try to run this code I find error in the call for the transition layer inside the Densenet function. When I look inside I do see that the line number 176 x = transition(x, nb_filter, dropout_rate=dropout_rate,...) clearly is not passing the "concat_axis" as the second parameter as it should be in the transition function call. Do you think that is a mistake? Could you please let me know? Thank you very much.
Best,
Haramoz
The text was updated successfully, but these errors were encountered:
Ah thanks for writing back. Yes that seems to have fixed the issue. I had done it the same way. However now I am concerned about other things related to the implementation, like where are the bottleneck layers? and instead of "compression" layers we have weight decay here. I am in middle of the process to evaluate this implementation, soon may be have to move to another one or write mine ...... just wanted to inform you about my thoughts, @XiangxiangXu . Let me know if you agree or disagree to this. Cheers!
Hello,
I am trying to learn how to use Densenet, so i started with this repository. When i try to run this code I find error in the call for the transition layer inside the Densenet function. When I look inside I do see that the line number 176 x = transition(x, nb_filter, dropout_rate=dropout_rate,...) clearly is not passing the "concat_axis" as the second parameter as it should be in the transition function call. Do you think that is a mistake? Could you please let me know? Thank you very much.
Best,
Haramoz
The text was updated successfully, but these errors were encountered: