depth is a technique when you train a model what you'll do during training instead of always passing your data forward through the layers like this you use some sort of a drop out but with entire layers so what you'll do is you'll pass your data forward and then randomly you'll skip a layer and then pass it forward again now these these might seem weird first because uh yeah it might seem weird but in if you know that most models especially computer vision models nowadays are residual networks which means that