Comments (1)
Because there isn't one for Keras. Keras doesn't support Grouped convolutions yet, so no weights can be ported to it.
from keras-resnext.
Related Issues (20)
- IMAGENET_TF_WEIGHTS_PATH isn't defined in resnext.py HOT 2
- Is the model structure in the code the same as in the paper? HOT 1
- 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.