The Unreasonable Reputation of Neural Networks | [ thinking machines ]January 12, 2016It is hard not to be enamoured by deep learning nowadays, watching neural networks show off their endless accumulation of new tricks. There are, as I see it, at least two good reasons to be impressed: (1) Neural networks can learn to model many natural functions well, from weak priors. The idea of marrying hierarchical, distributed representations with fast, GPU-optimised gradient
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