Context: please provide short answer of following question
Question: Explain the concept of transfer learning in deep learning.
Answer: Transfer learning in deep learning refers to the process of using a model that has already been trained on a large dataset for a new task. The pre-trained model's weights are either used as a fixed feature extractor or fine-tuned for the new task, allowing the model to adapt quickly without needing to train from scratch.