Transfer learning is a type of machine learning that involves using knowledge gained from one task to improve the performance of a related task. It has practical applications in image recognition, object detection, and natural language processing.
Transfer learning is a type of machine learning that involves using knowledge gained from one task to improve the performance of a related task. It has practical applications in image recognition, object detection, and natural language processing.