Machine Learning Interviewfragen und Antworten
Question: What is the role of a learning rate in gradient descent optimization algorithms?Answer: The learning rate determines the size of the steps taken during the optimization process. It is a hyperparameter that influences the convergence and stability of the optimization algorithm. A too-high learning rate may cause divergence, while a too-low rate may result in slow convergence. |
Zum Wiederholen speichern
Speichere diesen Eintrag als Lesezeichen, markiere ihn als schwierig oder lege ihn in einem Wiederholungsset ab.
Melde dich an, um Lesezeichen, schwierige Fragen und Wiederholungssets zu speichern.
Ist das hilfreich? Ja Nein
Am hilfreichsten laut Nutzern:
- 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.