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It's short for criterion, i.e. the basic loss function. As shown by demo.ipynb, you can build a cross entropy loss for classification tasks: crit = nn.CrossEntropyLoss().
what is crit argument in ewc = ElasticWeightConsolidation(model, crit, lr=0.01, weight=0.1)? and how to build it ?
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