mutil-task learning
时间: 2023-09-16 17:11:51 浏览: 42
Multi-task learning is a machine learning technique where a single machine learning model is trained to perform multiple related tasks simultaneously. The idea is to leverage the shared knowledge across tasks to improve the overall performance of the model. In multi-task learning, the model is trained on a combination of multiple datasets instead of just one, and it learns to perform multiple tasks at the same time by sharing the learned features across these tasks. This approach is especially useful when the multiple tasks are related and have some common underlying patterns or features. Multi-task learning has been successfully applied in various areas such as natural language processing, computer vision, speech recognition, and recommendation systems.