Python(Colab) 파이토치(Pytorch) + 논리 회귀 (다항)

1. 데이터 셋 설정 x_train = [[1,2,1,1], [2,1,3,2], [3,1,3,4], [4,1,5,5], [5,7,5,5], [6,2,5,6], [7,6,6,6], [8,7,7,7] ] y_train = [0,0,0,1,1,1,2,2] #결과도 3개 x_train = torch.FloatTensor(x_train) y_train = torch.LongTensor(y_train) x_train.shape , y_train.shape 2. 모델 설정 model = nn.Sequential( nn.Linear(4,3) ) # 4개 input 3개 output print(model) 3. 학습하기 y_pred = model(x_train) y_pred 4. 손실율 확인후 반복 학습 #🔴 다항 논리..

2023.06.20