Question: Explain the term 'hyperparameter' in the context of machine learning.Answer: Hyperparameters are configuration settings for machine learning models that are not learned from the data but are set before the training process. Examples include learning rate, regularization strength, and the number of hidden layers in a neural network. |
Guardar para repaso
Guarda este elemento en marcadores, marcalo como dificil o agregalo a un conjunto de repaso.
Inicia sesion para guardar marcadores, preguntas dificiles y conjuntos de repaso.
Es util? Si No
Lo mas util segun los usuarios:
- Explain the concept of feature engineering.
- What is the purpose of regularization in machine learning?
- Explain the term \'hyperparameter\' in the context of machine learning.
- What is the purpose of the activation function in a neural network?
- Explain the term \'precision\' in the context of classification.