Deepmind’s newest machine studying analysis explores the connection between gradient-based meta-learning and convex optimization | Coys Information

The time period “meta-learning” refers back to the course of by which a learner adapts to a brand new problem by modifying an algorithm with identified parameters. The algorithm parameters are meta-learned by measuring the learner’s progress and adjusting accordingly. There’s plenty of empirical assist for this framework. It has been utilized in varied contexts, … Read more

Deepmind’s newest machine studying analysis explores the connection between gradient-based meta-learning and convex optimization | Coys Information

The time period “meta-learning” refers back to the course of by which a learner adapts to a brand new problem by modifying an algorithm with identified parameters. The algorithm parameters are meta-learned by measuring the learner’s progress and adjusting accordingly. There’s a number of empirical help for this framework. It has been utilized in numerous … Read more