Comments (1)
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.
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Related Issues (20)
- IMAGENET_TF_WEIGHTS_PATH isn't defined in resnext.py HOT 2
- Hello HOT 2
- ImportError: cannot import name '_obtain_input_shape'? HOT 5
- Grouped Convolution Block
- Parameter Count
- Where can i download the weight? HOT 1
- Incorrect number of features at last stage for ResneXt-101
- Where is ImageNet Weights file? HOT 5
- Add a license
- Do you have plan of implementing
- Pull request pending
- `ResNeXt` != `ResNext`
- Splitting Tensors/Grouped Convolutions HOT 3
- What's the best Optimizer to use and what default parameters go well. HOT 1
- cannot import name 'ResNeXt'` HOT 4
- Number of parameters HOT 1
- Running out of Memory HOT 1
- Different Implementation from paper and original code HOT 2
- Where can I download the pretained model based on Imagenet? HOT 7
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from keras-resnext.