In [1]:
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Extracting MNIST_data/train-images-idx3-ubyte.gz
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
In [5]:
mnist.train.labels.shape
Out[5]:
(55000, 10)
In [7]:
xs, ys = mnist.train.next_batch(1)
In [8]:
xs.shape
Out[8]:
(1, 784)
In [9]:
ys.shape
Out[9]:
(1, 10)
In [10]:
ys
Out[10]:
array([[ 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.]])
In [11]:
xs
Out[11]:
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In [13]:
0 in [1, 0,2]
Out[13]:
True
In [ ]:
Content source: yuhangwang/MirrorAI
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