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License: Apache License 2.0
Keras implementation of Google's inception-resnet-v2 Architecture
License: Apache License 2.0
I am trying to implement a 'mini' inception resnet and I have been using your work as a guideline.
I think that you may have used the inceptionRenetv3 stem for v4 one.
paper:
https://arxiv.org/abs/1602.07261
Great work by the way, it helped me a lot.
Somewhere in either the model or the weight conversion code (from tfslim to Keras with TF dim ordering and Tensorflow backend) there is a bug. I've fixed a couple that I've found already, but currently I'm not able to find out why its not working. I suspect somehow some of the batch norm weights are getting assigned out of order, although, after going over the code multiple times I cannot find any bug that would cause that to happen.
Also, it should be noted that the tfslim implementation of inception-resnet-v2 is different than the model described in their paper. There is zero explanation for this anywhere that I can find, however, since the checkpoint file is available for the tfslim version, I have copied that model definition for this implementation.
Do you have the weights Now ?
Please add license file to the repository or at least specify under what license it's published!
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