Adam1 [DL] options in DeepLearning ( Transfer learning) num_workers x.view() F.log_softmax(x, dim=1) lr = 0.001 eval() to.(DEVICE) fc.in_features lr_scheduler.StepLR() zero_grad set_grad_enabled max(outputs, 1) trainable=False [np.newaxis, ...] argmax() axis=-1 untar = True #1 num_workers val_loader = torch.utils.data.DataLoader(val_dataset, batch_size = BATCH_SIZE, shuffle =True, num_workers = 4) In PyTorch, num_workers is an argument in the DataLoa.. 2023. 2. 16. 이전 1 다음
