from tensorflow.examples.tutorials.mnist import input_data

#载入MNIST数据集，如果指定地址下没有下载好的数据，那么TensorFlow会自动在网站上下载数据
mnist = input_data.read_data_sets("/tensorflow_google")

#打印训练数据大小
print("Training data size:", mnist.train.num_examples)

#打印验证集大小
print("Validating data size:", mnist.validation.num_examples)

#打印测试集大小
print("Testing data size:", mnist.test.num_examples)

#打印训练样例
print("Example training data", mnist.train.images[0])

#打印训练样例的标签
print("Example training data label:", mnist.train.labels[0])

Training data size: 55000
Validating data size: 5000
Testing data size: 10000
Example training data [ 0.     ... 0.    ]
Example training data label: 7

batch_size = 200
xs, ys = mnist.train.next_batch(batch_size) #xs是数据，ys是对应的标签
print("X shape", xs.shape)
print("Y shape", ys.shape)

X shape (200, 784) #X是200*784的数组
Y shape (200,) #Y是200维的一维数组