Hands-On Meta Learning with Python

Algorithm

Now, we'll see how inequality minimization TAML works step by step:

1. Let's say we have a model parameterized by a parameter and we've a distribution over tasks . First, we randomly initialize the model parameter .
2. We sample a batch of tasks from a distribution of tasks—that is, . Say, we've sampled three tasks, then .
3. Inner loop: For ...