1. mnist_deep.py read (where is the training, where is the test?)
2. Find the code for the training and save the model locally, called model.ckpt
（1）restore model.ckpt, assuming model f（volume）docker run -v
（2）Given any graph x，f(x) = digit
（3）Deploy f(x) to Flask
(4)Write the current time, file name, and predicted number into Cassandra
Level-0：Implement the above code locally
My test1 always identify wrong, my test2 is not working. I need help to fix these two. And then finish step 3 and level-0
Im using Pycharm, Macbook pro. Please make sure I can run your code in mac environment.
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