Toward Efficient Learning: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

This video explains an algorithms for meta-learning that is model-agnostic. It is compatible with any model trained with gradient descent and applicable to a variety of different learning problems 0:00 - Intro 2:29 - Human Intelligence 4:07 - The goal of this meta learning 5:56 - Model-agnostic meta learning 10:17 - Step 1 - standard learning 12:04 - Step 2 - meta learning 15:59 - Algorithm 18:25 - Experiment setup 19:54 - Omniglot data 22:17 - MiniImagenet data 23:08 - Recap Related Video: Can Machi