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
Docker:
3. app.py
(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.
Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.
Read moreEach paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.
Read moreThanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.
Read moreYour email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.
Read moreBy sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.
Read more