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A Theory of Deep Learning | Elements of a Vector Space

elonlit.com · 1,837 words · saved by 8 readers

We finally know why deep learning works.

Borges wrote a story about a man named Funes who, after a horseback accident, acquires the ability to perceive and remember everything. Every leaf on every tree. Every ripple on every stream at every moment. He is the perfect empiricist. Infinite data, infinite recall, infinite resolution. And he cannot think. Because thinking, as Borges understood, requires forgetting. Funes could reconstruct entire days from memory but could not understand why the dog at 3:14, seen from the side, should be called the same thing as the dog at 3:15, seen from the front. I suspect [that Funes] was not very good

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