Active Learning techniques use callbacks extensively for progress tracking. We will be using model checkpointing and early stopping for this example. The patience parameter for Early Stopping can help minimize overfitting and the time required. We have set it patience=4 for now but since the model is robust, we can increase the patience level if desired.