To an extent. But a human isn't trained from scratch. Babies go through huge amounts of unsupervised learning to build up a basic vision and language framework

To an extent. But a human isn't trained from scratch. Babies go through huge amounts of unsupervised learning to build up a basic vision and language framework. Training a neural network to recognize dog pictures is like connecting electrodes to your tongue and trying to do the same. Rudimentary "vision" (very small resolution) has actually been demonstrated this way in human experiments, but you definitely need more than a few examples. A fairer comparison is: can giant pertained NNs learn to generalize with few examples, and the answer seems to be yes.