Assume that I have a fully connected network that takes in a vector containing
1025 elements. First
1024 elements are related to the input image of size
32 x 32 x 1, and the last element in the vector (
1025-th element) is a control bit that I call it special input.
When this bit is
zero, the network should predict if there is a
cat in the image or not, and when this bit is
one, it should predict if there is a
dog in the image or not.
So how can I tell the network that your
1025-th element should be special to you and you should pay more attention to it?
Note that it's just an example and the real problem is more complex than this. So please don't bypass the goal of this question by using tricks special to this example. Any idea is appreciated.