Machine Learning Pertanyaan dan Jawaban Wawancara
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. |
Simpan untuk Revisi
Bookmark item ini, tandai sebagai sulit, atau masukkan ke dalam set revisi.
Masuk untuk menyimpan bookmark, pertanyaan sulit, dan set revisi.
Apakah ini membantu? Ya Tidak
Most helpful rated by users:
- 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.