bit about what's wrong with the mean squared error training process suppose we have the blue dot at the bottom of the slide representing some input and we'd like to learn to map this input to some desired output suppose all the different green dots represent different possible outputs that are all valid well in the training set suppose the the label that we had for this particular blue dot was the green dot on the far left but suppose that the model produced a green dot on the far right mean squared error will induce the red error