선형회귀_다중선형회귀

import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim torch.manual_seed(1) # 훈련 데이터 x1_train = torch.FloatTensor([[73], [93], [89], [96], [73]]) x2_train = torch.FloatTensor([[80], [88], [91], [98], [66]]) x3_train = torch.FloatTensor([[75], [93], [90], [100], [70]]) y_train = torch.FloatTensor([[152], [185], [180], [196], [142]]) # 가중치 w와 편향 b 초기화 w1 = torch.zeros(1, requires_grad=True) w2 = torch.zeros(1, requires_grad=True) w3 = torch.zeros(1, requires...