networks everybody who was under ested in the idea thought of it as each layer learns a different level of abstraction but the first layer trained on images learn something like edges and the second layer learns corners and eventually you get these kind of grandmother's cell units that recognize specific objects today I think most people think of it more as a computer program where as you add more layers you can do more updates before you output your final number but I don't think anybody believes the layer 150 of the