Customizing Keras
Just as composing our basic building blocks into larger architectures enables us to build interesting deep learning models, sometimes we need to look at the other end of the spectrum. Keras has a lot of functionality built in already, so it is very likely that you can build all your models with the provided components and not feel the need for customization at all. In case you do need customization, Keras has you covered.
As you will recall, Keras is a high level API that delegates to either a TensorFlow or Theano backend for the computational heavy lifting. Any code you build for your customization will call out to one of these backends. In order to keep your code portable across the two backends, your custom code should use the Keras backend API (https://keras.io/backend/), which provides a set of functions that act like a facade over your chosen backend. Depending on the backend selected, the call to the backend facade will translate to the appropriate TensorFlow or Theano...
