Search for the fastest Deep Learning Framework supported by Keras

If there are any doubts in regards to the popularity of Keras among the Data Scientist/Engineer community and the mindshare it commands, you just need to look at the support it has been receiving from all major AI and Cloud players. Currently the official Keras release already supports Google's TensorFlow and Microsoft's CNTK deep learning libraries besides supporting other popular libraries like Theano. Last year Amazon Web Services announced its support for Apache MXNet, another powerful Deep Learning library and few weeks ago support for Keras was added to the MXNet's next release candidate. As of now MXNet only seems to support Keras v1.2.2 and not the current Keras release 2.0.5. Although it is possible to deploy Keras models in production with any of the supported backends, developers and solution architects should keep in mind that Keras, by nature of being a high-level API for the different DL frameworks, doesn't yet support tweaking of all underlying parameters offered by the individual libraries.