suppose my image contains 1 animal from a set of 10 animals and 1 bird from the set of 10 birds
can we add 2 types of classifier using transfer learning, like in 1 classifier it gives result what animal this image contains and in another classifier it gives which bird and then we can add both loss and do backpropagation?