Keras and cross validation
Nope... That seem to be the solution. (Of what I know of.)
I am currently trying train a regression network using keras.  To ensure I proper training I've want to train using crossvalidation. 
The Problem is that it seems that keras don't have any functions supporting crossvalidation or do they? 
The only solution I seemed to have found is to use scikit test_train_split and run a model.fit for  for each k fold manually.  Isn't there a already an integrated solutions for this, rather than manually doing it ?