人工智能·手写数字的MNIST数据集

jetsung

手写数字的MNIST数据集

http://yann.lecun.com/exdb/mnist/

train-images-idx3-ubyte.gz: training set images (9912422 bytes)
train-labels-idx1-ubyte.gz: training set labels (28881 bytes)
t10k-images-idx3-ubyte.gz: test set images (1648877 bytes)
t10k-labels-idx1-ubyte.gz: test set labels (4542 bytes)

百度镜像：

https://dataset.bj.bcebos.com/mnist/train-images-idx3-ubyte.gz
https://dataset.bj.bcebos.com/mnist/train-labels-idx1-ubyte.gz
https://dataset.bj.bcebos.com/mnist/t10k-images-idx3-ubyte.gz

https://dataset.bj.bcebos.com/mnist/t10k-labels-idx1-ubyte.gz

# 使用 python paddle 下载
import paddle
from paddle.vision.transforms import Compose, Normalize

transform = Compose([Normalize(mean=[127.5],
                               std=[127.5],
                               data_format='CHW')])
# 使用transform对数据集做归一化
print('download training data and load training data')
train_dataset = paddle.vision.datasets.MNIST(mode='train', transform=transform)
test_dataset = paddle.vision.datasets.MNIST(mode='test', transform=transform)
print('load finished')