Question: Explain the U net architecture and write the Python code covering relevant techniques ( down sampling, up convolutions, batchnorm, dropout, data augmentation ) using Pytorch
Explain the U net architecture and write the Python code covering relevant techniques down sampling, up convolutions, batchnorm, dropout, data augmentation using Pytorch not Tensorflow
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