A powerful machine learning algorithm should be able to dynamically tune both its own model parameters and hyper parameters.
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nah, tweaking the "evolution process" means changing network architecture, or even the iterative design process.
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hyperparameters all the way up. At some point you'll have to tweak the fundamental physical constants of your universe
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