A human child learns much more easily by seeing only a handful of images of a cat and then almost being able to say any type of cat image as it grows (without e

A human child learns much more easily by seeing only a handful of images of a cat and then almost being able to say any type of cat image as it grows (without ever seeing 1 million or billion images). So, there seem to be something that shows that more than the amount of data, the "reality" of seeing a real cat probably includes all possible aspects of a Cat ? There seem to be something missing with this whole deep learning stuff and the way it is trying to simulate the human cognition.