tensorflow中導入下載到本地的mnist數據集

mnist數據集獲取:可從Yann LeCun教授管網獲取;
tensorflow中可使用input_data.read_data_sets("/worker/mnistdata/", one_hot = True) 導入下載到本地的mnist數據集; "/worker/mnistdata/"為數據集存放的位置.

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data  #tensorflow已經包含了mnist案例的數據
mnist = input_data.read_data_sets("/worker/mnistdata/", one_hot = True) #導入已經下載好的數據集,"/worker/mnistdata/"為存放mnist數據集的文件夾

print(mnist.train.images.shape, mnist.train.labels.shape)
print(mnist.test.images.shape, mnist.test.labels.shape)
print(mnist.validation.images.shape, mnist.validation.labels.shape)

Extracting /worker/mnistdata/train-images-idx3-ubyte.gz
Extracting /worker/mnistdata/train-labels-idx1-ubyte.gz
Extracting /worker/mnistdata/t10k-images-idx3-ubyte.gz
Extracting /worker/mnistdata/t10k-labels-idx1-ubyte.gz
(55000, 784) (55000, 10)
(10000, 784) (10000, 10)
(5000, 784) (5000, 10)