Why a can't get feature and lables in data loader, in x_trian y_train

[tonyhaya]

In chapter 1 and 2, the data come in diferent variable, however, in the chapter 3, when I need to train a model, all answer and question (feature and label) are in the same place, Why the model keep learning, shoun't run some error. My model runs. One more question why can't use outside of for enumerate(), to get the data in different local

Train_data=torchvision.datasets.MNIST(root="Train data",train=True, #Do we want the training dataset download=True,#do we want to download y/n transform=torchvision.transforms.ToTensor(),#how do we want to transform the data target_transform=None)

Test_data=torchvision.datasets.MNIST(root="dTest ata",train=False, #Do we want the training dataset download=True,#do we want to download y/n transform=torchvision.transforms.ToTensor(),#how do we want to transform the data target_transform=None)

Obs: Always visualize