How to add a new class to an existing classifier in deep learning?
You have to remove the final fully-connected layer, freeze the weights in the feature extraction layers, add a new fully-connected layer with four outputs and retrain the model with images of the original three classes and the new fourth class.
I trained a deep learning model to classify the given images into three classes. Now I want to add one more class to my model. I tried to check out "Online learning", but it seems to train on new data for existing classes. Do I need to train my whole model again on all four classes or is there any way I can just train my model on new class?