Deep Learning Questions et reponses d'entretien
Question : What is the difference between a regression problem and a classification problem in machine learning?Reponse : In a regression problem, the goal is to predict a continuous output, such as a numerical value. In a classification problem, the goal is to assign inputs to one of several predefined categories. Regression models predict quantities, while classification models assign labels. |
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?