is due to supervised running and we all know what what that means right to give let's say you want to do image recognition you give an image to the Machine and if the machine doesn't give you the right answer you tell you what a right a right answer is and you adjust its internal parameters using stochastic gradient descent or something like that a gradient based method to get the output closer to the one you want the amount of information you give to the machine at every trial is relatively small even in the case of something like