Cross Validation with Artificial Neural Network in Keras I needed to use cross-validation in the Neural network.
I used
 kf = KFold(n_splits=5, shuffle=True)

and
  for train_index, test_index in kf.split(train):
    train_X, train_y = train_XX[train_index], train_yy[train_index]

but I couldn't manage to run. One of the errors I see is
ValueError: Cannot have number of splits n_splits=5 greater than the number of samples: n_samples=2.

I would be glad to have your suggestions if you ever tried CV with in Neural network.
It is likely that your train variable in kf.split(train): is a list of two lists e.g. train_x and train_y or something similar. I am guessing this because the KFold API is only detecting only two entries in it, which it is unable to partition in 5 subsets (folds).