# -*- coding: utf-8 -*-
"""
Created on Thu Dec  6 00:53:44 2018
需要翻牆
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@author: Administrator
"""

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

print("Training data size: ",
 
mnist.train.num_examples)
# 列印“Validating data size: 5000”
print("Validating data size: ",mnist.validation.num_examples)
# 列印“Testing data size: 10000”
print("Testing data size: ",mnist.test.num_examples)
# 列印“Example training data: [0. 0. 0. ... 0.380 0.376 ... 0.]”
print("Example training data: ",mnist.train.images[
 
0])
# 列印“Example training data label: [0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]”
print("Example training data label: ",mnist.train.labels[0])

Extracting MNIST_data\train-images-idx3-ubyte.gz
Extracting MNIST_data\train-labels-idx1-ubyte.gz
Extracting MNIST_data\t10k-images-idx3-ubyte.gz
Extracting MNIST_data\t10k-labels-idx1-ubyte.gz
Training data size: 55000
Validating data size: 5000
Testing data size: 10000
Example training data: [0. 0. 0. … 0. 0. 0.]
Example training data label: [0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]