PyTorch-Encoding
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Modifying the loss and underlying models
How can I train a new model while modifying the loss function used in the encnet as well as the deeplab / fcn.. model cross-entropy loss ? Also, how can I remove encnet from the structure and do an ablation study?
Please read the docs on PyTorch for customizing models.