Deep Learning Questions et reponses d'entretien
Question : What is the difference between a hyperparameter and a parameter in the context of machine learning models?Reponse : Parameters are internal variables learned by the model during training, such as weights and biases. Hyperparameters are external configuration settings that influence the learning process, like the learning rate or the number of hidden layers. They are set before training and are not learned from the data. |
Enregistrer pour revision
Ajoutez cet element aux favoris, marquez-le comme difficile ou placez-le dans un ensemble de revision.
Connectez-vous pour enregistrer des favoris, des questions difficiles et des ensembles de revision.
Est-ce utile ? Oui Non
Les plus utiles selon les utilisateurs :
- Explain the purpose of an activation function in a neural network.
- What is transfer learning, and how is it used in deep learning?
- What is a convolutional neural network (CNN), and how is it different from a fully connected neural network?