Machine Learning Pertanyaan dan Jawaban Wawancara
Question: What is transfer learning, and how is it used in deep learning?Answer: Transfer learning is a technique where a pre-trained model on a large dataset is adapted for a different but related task. It allows leveraging knowledge gained from one domain to improve performance in another, often with smaller amounts of task-specific data. |
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.