Multi-task Learning

Introduction Multi-task learning is the sub-branch of machine learning. In which, many learning tasks are resolved together using commonalities and changes through tasks. When related to training the models alone, this may outcome in enhanced learning effectiveness and estimate correctness for the task-specific models. Multitask Learning is a method of inductive transfer. It enhances generalization […]

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