# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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"""Functions for downloading and reading MNIST data."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import os
import tempfile
import numpy
from six.moves import urllib
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
from tensorflow.contrib.learn.python.learn.datasets.mnist import read_data_sets
打开 pychram, 新建input_data.py文件，将以上代码 保存进去
使用时新建test.py文件（与input_data.py在同一目录下，比如我的是Home/PycharmProjects/MNIST_data/mnist），执行下面命令来下载MNIST数据集，执行这个程序就会在mnist文件夹下生成一个data文件夹，
#下载用于训练和测试的mnist数据集的源码
import input_data # 调用input_data
print('Download and Extract MNISIT dataset: ')
mnist = input_data.read_data_sets('data/', one_hot=True)
print("type of 'mnnist' is %s"% (type(mnist)))
print("number of train data is %d " % (mnist.train.num_examples))
print("number of test data is %d" %(mnist.test.num_examples))
如图：
输出结果看到mnist的类型，并且有55000张的训练数据和10000张的测试数据：
