Hands-On Transfer Learning with Python

Multitask learning

Multitask learning is a slightly different flavor of the transfer learning world. In the case of multitask learning, several tasks are learned simultaneously without distinction between the source and targets. In this case, the learner receives information about multiple tasks at once, as compared to transfer learning, where the learner initially has no idea about the target task.

This is depicted in the following diagram:

Multitask learning: Learner receives information from all tasks simultaneously