The similarity between writing & training a neural net is striking. Start with random weights (AKA a bad first draft), and apply gradient descent until it plateaus / you can't bear it any more...
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It’s not gradient descent unless you send it other people, get feedback and iterate. And even then it’s a very weak analogy. Rewriting a draft is more akin to code refactoring. You realize the intent you initially had and you figure out how to express it better on every edit.
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I see the similarity too. But also, the more I understand neural networks, the less I need iterations. The gradient descent seems to move more and more to the brain ;-)
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