Toddlers have a neural network architected and fine tuned for object recognition. They also have a benefit of learning thousands of hours of video from the real

Toddlers have a neural network architected and fine tuned for object recognition. They also have a benefit of learning thousands of hours of video from the real world, initially blurry, gradually getting sharper, to draw the model of physical reality before they are given first examples of "dog" or "cat" to classify. If you kept toddler immobile in the darkness then presented him with static 2d photos of a dog or a cat I think it wouldn't learn much faster than artificial neural net.