Summary

In this chapter, we worked to set the team set up in a common environment with a standardized toolset.  We are looking to deploy our project applications utilizing Gunicorn and Cuda. Those projects will rely on highly advanced and effective Deep Learning libraries such as Tensorflow and Keras running in Python 2.x/3.x. We'll write our code using the resources in the Anaconda Package and all this will be running on Ubuntu 16.04 or greater OS.

Now we are all set to perform experiments and deploy our Deep Learning models in production!

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