/u/oakdesk's posts in /r/askscience
Once a neural network is trained for a task, is there any way to examine the network to give insight into how to traditionally think up and write an equation to do the same task, or is it fairly black-box?
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Why do beginning weight-lifters experience "beginner gains" (make huge advances that later taper off into slow steady gains)?
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For every neural network trained to do a task, must there be a possible conventional equation that accepts the same inputs, produces the same outputs?
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