Introduction to machine learning · Question 24 of 60
Which parameters are called algorithm hyperparameters?
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Answer
- A Parameters that control the training, such as the number of iterations when training a neural network
Explanation
Algorithm hyperparameters control the training, for example the number of iterations when training a neural network. Model hyperparameters, by contrast, define the model structure, for example the number of layers or the depth of a decision tree. Both types are adjusted during tuning.