tensorflow讀取本地MNIST數據集

數據放入文件夾（不要解壓gz）：

>>> import tensorflow as tf

>>> from tensorflow.examples.tutorials.mnist import input_data

>>> MNIST_data =r‘D:\tensorflow\mnist‘

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

Extracting D:\tensorflow\mnist\train-images-idx3-ubyte.gz

WARNING:tensorflow:From d:\ProgramData\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use tf.data to implement this functionality.

Extracting D:\tensorflow\mnist\train-labels-idx1-ubyte.gz

WARNING:tensorflow:From d:\ProgramData\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use tf.one_hot on tensors.

Extracting D:\tensorflow\mnist\t10k-images-idx3-ubyte.gz

Extracting D:\tensorflow\mnist\t10k-labels-idx1-ubyte.gz

WARNING:tensorflow:From d:\ProgramData\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.

Instructions for updating:

Please use alternatives such as official/mnist/dataset.py from tensorflow/models.

tensorflow讀取本地MNIST數據集