Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
[1.0, 1.0, 1.0, 1.0, 10.0] criterion = CustomLoss(class_weights=[1.0, 1.0, 1.0, 1.0, 10.0]) # Inside the training loop optimizer.zero_grad() outputs = model(inputs) loss = criterion(outputs, targets) loss.backward() optimizer.step() Metric-Based Loss — In some cases, the performance of the model