Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
enumerate(self.class_weights): weights[targets == class_idx] = weight weighted_loss = ce_loss * weights return torch.mean(weighted_loss) # Assuming you have a model and training data model = YourModel() optimizer = torch.optim.SGD(model.parameters(), lr=0.01) # Assuming 5 classes so class_weights =