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3 years ago
import torch
import numpy as np
import torchvision
from torchvision.datasets import MNIST
from torchvision.transforms import ToTensor
from torch.utils.data.sampler import SubsetRandomSampler
from torch.utils.data.dataloader import DataLoader
dataset = MNIST(root='data/',
               download=True,
               transform=ToTensor())
img, label =dataset[0]
img.shape, label
(torch.Size([1, 28, 28]), 5)
import matplotlib.pyplot as plt
plt.imshow(img[0])
<matplotlib.image.AxesImage at 0x7fc40dcf3790>
Notebook Image
img[0, 10:15, 10:15]
tensor([[0.0039, 0.6039, 0.9922, 0.3529, 0.0000],
        [0.0000, 0.5451, 0.9922, 0.7451, 0.0078],
        [0.0000, 0.0431, 0.7451, 0.9922, 0.2745],
        [0.0000, 0.0000, 0.1373, 0.9451, 0.8824],
        [0.0000, 0.0000, 0.0000, 0.3176, 0.9412]])