I don’t know how to concisely word my question to google it so I just have to explain it.
Let’s say I want to train a network to recognize a specific person, Robin Williams for example, how do I train the network to distinguish him from other people? Assuming the input is an image file with potentially several people.
The problem I’m having is I think if I train it just picture of Robin Williams, the network would learn the general features of a person (nose, eyes, mouth, etc.) and say that any person is Robin Williams. If I use two labels, one
is_robin and another
not_robin, what would my
not_robin training set consist of? I don’t think the
not_robin training set can just be random people because there wouldn’t be a pattern to learn.
Maybe a neural network isn’t the correct structure to use for this kind of question?