선형회귀_미니배치와데이터로드

import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import TensorDataset # 텐서데이터셋 from torch.utils.data import DataLoader # 데이터로더 x_train = torch.FloatTensor([[73, 80, 75], [93, 88, 93], [89, 91, 90], [96, 98, 100], [73, 66, 70]]) y_train = torch.FloatTensor([[152], [185], [180], [196], [142]]) dataset = TensorDataset(x_train, y_train) dataloader = DataLoader(dataset, batch_size=2, shuffle=True) model = nn.Linear(3,1) optimizer = torch.optim.SGD(model.paramet...