Introduction to machine learning · Question 7 of 60

Which parameters are called model hyperparameters?

1 answer is correct. Easy

1. A Parameters that control the training, such as the number of iterations when training a neural network
2. B The weights and bias values the model learns from the data during training
3. C Parameters that define the model structure, such as the number of layers of a neural network
4. D The labels of the training data that specify the correct outputs in supervised learning