imagenet as the teacher model so you can see in the table right here what the b7 achieves the efficient net b7 here you can see it has 66 million parameters which is fairly small compared to these other kind of previous state-of-the-art methods on imagenet right so they first train this and that will achieve something like an 85 percent accuracy now if you just train a larger model this efficient net l2 right here that has you can see 480 million parameters so a lot of more mainly parameters but you just train it