Understanding Transfer Learning in AI
Transfer learning is a machine learning method where a model developed for a particular task is reused as the starting point for a model on a second task. It is an essential component in creating efficient AI systems and is especially helpful when the second task has limited labeled data.
Why Use Transfer Learning?
- Reduces training time
- Achieves better performance
- Requires less data
Applications
Transfer learning is commonly used in image classification, natural language processing, and even in reinforcement learning for robotics.