Machine Learning Interview Questions and Answers
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. |
Save For Revision
Bookmark this item, mark it difficult, or place it in a revision set.
Log in to save bookmarks, difficult questions, and revision sets.
Is it helpful? Yes No
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.