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Some weird thing with U-Net. Note this does not follow the official implementation of Variational UNet given in some papers.

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Variational-UNet

The code is written in TensorFlow 2.0 and trained over biomedical dataset.

Adding a probability distribution layer after every skip connection. The idea is that each layer contributes mask formation, hence to sample from probability distribution from each layer makes sense rather than sampling from the last encoder layer.

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Some weird thing with U-Net. Note this does not follow the official implementation of Variational UNet given in some papers.

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