Comments (1)
Sorry, for keras I don't know if there are pretrained models. Maybe check the keras implementations listed in our readme page, or search "keras DenseNet" on google or github.
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Related Issues (20)
- Covolution before entering the first dense block for imagenet dataset HOT 1
- DenseNet on Pascal VOC HOT 2
- results on cifar100 HOT 1
- I tried to reproduce Wide-DenseNet-BC results on cifar10, but got 0.5% more than your error HOT 4
- Why is composite function BN-ReLU-Conv3x3 ? HOT 1
- Pretrained weights for the 0.8M parameters config HOT 1
- Why not share the first BN and ReLU? HOT 2
- The layers within the second and third dense block don't assign the least weight to the outputs of the transition layer in my trained model
- Why we can detach any layer without affecting others in densenet?
- question about standardization HOT 6
- cifar validation loss decrease than increase after learning rate change HOT 4
- Question on channel before entering the first block HOT 2
- Question on impede information flow HOT 1
- Is there a pretrained CIFAR 100 or CIFAR 10 model? HOT 2
- Densenet on CIFAR training from scratch
- Question on the last transition layer
- Receptive field of DenseNet
- image classification
- cannot open </cifar-10-python/data_batch_1>
- Different DensceNet
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