1、多任务学习导引
多任务学习是机器学习中的一个分支，按1997年综述论文Multi-task Learning一文的定义：Multitask Learning (MTL) is an inductive transfer mechanism whose principle goal is to improve generalization performance. MTL improves generalization by leveraging the domain-specific information contained in the training signals of related tasks. It does this by training tasks in parallel while using a shared representation。翻译成中文：