titu1994 / Keras-ResNeXt

Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.

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Is the model structure in the code the same as in the paper?

Ostnie opened this issue · comments

Hello,I have read your code and have some doubts about the structure, it seems not tha same as the paper, especially this part:
I have seen the group conv which has 33 kernel, I don't know where is the 11 kernel's filters in the resdiual block?

This is an approximate form of the model, which attempts to mimic the grouped conv behavior. Therefore this does not follow the paper architecture in the number of kernels.