model what do you think about that image right and the teacher model will give you a prediction like let's say again this 90 percent 10% 0% and then you take the student model you input that image and you compare its output to what the teacher said so this combines the teacher model you freeze the teacher model right the teacher model is only trained until here you take it from here the student model is now able to take basically the teacher it takes everything that the teacher model knows not only about this data but about all