Say I'm training a neural net to compute the following function:
(color_of_clothing, body_height) -> gender
When using this network for prediction, I can obviously plug in a pair
(c, b) to receive a predicted
g, but say I want to get a prediction only based on
c or only based on
b, can I use the same neural net somehow? Or would I need to train two separate neural nets
c -> g and
b -> g previously?
Or more generally, can I use a neural net that was trained to predict
A -> B to make predictions on values from a subset of
A, or should I train separate neural nets on all subsets of
A that I'm interested in?