Neural Network Regression
When you test a case from X with NN0, and it tells you "I'm a 0", that's the exact same thing as it telling you "I'm not a 1", because your class set has size two, like a boolean.
Therefor, your NN0 network predicts 1s as well as 0s, so does your NN1.
I had a question, For a given data set X with two classes {0,1}. If I train two separate neural networks NN0 and NN1 for each class 0 and 1 respectively. Can NN0 predict points in the dataset from class 1, even though it was trained on class 0?