Question: How are hyperparameters different from parameters in a machine learning model? Parameters control the learning algorithm, while hyperparameters define the model structure Hyperparameters are set

How are hyperparameters different from parameters in a machine learning model? Parameters control the learning algorithm, while hyperparameters define the model structure Hyperparameters are set before training and are not learned from data There is no difference ; the terms are interchangeable Hyperparameters are learned from data

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