Life-Long Learning — Part a

In this blog post, I want to write about life-long learning and see what it is actually. One of the resources is the “Stanford CS330 Deep Multi-Task & Meta-Learning” course and mainly lecture 15. The content of this blog post is mainly from the lecture, some parts are from the lecture, some from me, and some may be from an AI writing assistant.

Here are other posts from this series:

Life-Long Learning — Part b

Life-Long Learning — Part c

Let’s first talk about two kinds of problem statements: Multi-Task Learning and Meta-Learning.

In multitask learning, our goal is to solve a set of tasks. The train tasks and the test set tasks are the same set of tasks ultimately.

Whereas in meta-learning, our goal is to quickly learn a new task after having experience with a set of training tasks.