Machine Learning 면접 질문과 답변
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. |
복습용 저장
이 항목을 북마크하거나, 어렵게 표시하거나, 복습 세트에 넣을 수 있습니다.
도움이 되었나요? 예 아니요
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.