Deep Learning اسئلة واجوبة المقابلات

Question: What is the difference between a hyperparameter and a parameter in the context of machine learning models?

Answer: 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.