Comments (4)
MartinThoma
commented on June 12, 2024
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titu1994
commented on June 12, 2024
I'm waiting for Keras 2.0 to land to change the API.
This will fix the bug because it's coming from merge concat layer, and the merge implementation is being changed in 2.0.
Also, note that fast DenseNet is NOT tested nor recommended for actual applications. I should add a note somewhere.
The correct implementation is DenseNet.py.
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MartinThoma
commented on June 12, 2024
I just had to update to Keras 1.2.2; that fixed the problem.
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titu1994
commented on June 12, 2024
Oh that's great. Thanks for the solution.
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Related Issues (20)
- Cifar10 weights HOT 1
- no longer works with newest keras HOT 8
- About implementation of __dense_block HOT 2
- Running Densnet in CPU HOT 1
- Why reshape in fc-densenet in top layer before applying softmax? HOT 2
- AttributeError: 'NoneType' object has no attribute 'get_file' HOT 2
- Where is connection to 12 layers of each dense block? HOT 1
- About DenseNet HOT 1
- About Densenet architecture HOT 1
- Plans for memory efficient implementation in Keras? HOT 1
- How to upload my own dataset instead of the Cifar10 dataset HOT 1
- How to use 'DENSENET_121_WEIGHTS_PATH_NO_TOP'? HOT 1
- Mistake in L2 regularization HOT 1
- creat model HOT 2
- creat model HOT 1
- imagenet_inference
- inter_channel HOT 1
- Poor CIFAR100 accuracy HOT 1
- Error about normalize_data_format
- Unable to convert to frozen graph or checkpoint
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