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by f6v
2184 days ago
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> Hyperparameter: an aspect of the algorithm, a dial which changes model production This seems a bit cryptic. The way I understand hyperparamters, they define how a model learns, i.e. you can set an alpha in gradient descent. Now when you compare them to "ordinary" parameters, hyperparamters do not define relationship between data and output. |
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