84
edits
Changes
→Implementation of Neural Network
''' 2. Download the needed datasets from the MNIST API, partition them to feasible data
train = datasets.MNIST('', train = True, download = True, transform=transforms.Compose([transforms.ToTensor()])) test = datasets.MNIST('', train = False, download = True, transform=transforms.Compose([transforms.ToTensor()]))
trainset = torch.utils.data.DataLoader(train, batch_size = 10, shuffle = True) testset = torch.utils.data.DataLoader(test, batch_size = 10, shuffle = False)
== Getting Started With Jupyter lab ==
