Most worrying thing about AI these days is the short shelf life of most research trends. A few months to a year at this point. Flailing.
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The whole point of deep learning is to do things we don't understand. (That's what the 'deep' means.)
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The degree to which a system's parameters are subsumed into evolutionary dynamics defines its 'depth'.
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arguable. we dn't call them 'many layered nonlinear networks'
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