安裝好TensofFlow後，就可以跑例子了，首先還是跑一下最常見的MNIST。

$ python -m tensorflow.models.image.mnist.convolutional

執行結果如下：

Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting data/train-images-idx3-ubyte.gz
Extracting data/train-labels-idx1-ubyte.gz
Extracting data/t10k-images-idx3-ubyte.gz
Extracting data/t10k-labels-idx1-ubyte.gz
Initialized!
Step 0 (epoch 0.00), 4.4 ms
Minibatch loss: 12.054, learning rate: 0.010000
Minibatch error: 90.6%
Validation error: 84.6%
Step 100 (epoch 0.12), 288.4 ms
Minibatch loss: 3.269, learning rate: 0.010000
Minibatch error: 6.2%
Validation error: 6.9%
Step 200 (epoch 0.23), 285.7 ms
Minibatch loss: 3.474, learning rate: 0.010000
Minibatch error: 12.5%
Validation error: 3.6%
Step 300 (epoch 0.35), 288.9 ms
Minibatch loss: 3.215, learning rate: 0.010000
Minibatch error: 7.8%
Validation error: 3.4%
Step 400 (epoch 0.47), 305.0 ms
Minibatch loss: 3.224, learning rate: 0.010000
Minibatch error: 6.2%
Validation error: 2.8%