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Brain Computation: A Hands-on Guidebook

Chapter 1. Introduction
Chapter 2. Neural Modeling and Analysis
- Chapter 2. Neural Modeling and Analysis: Exercise
Chapter 3: Supervised Learning
- Supervised Learning: Exercise
Chapter 4. Reinforcement Learning
- Chapter 4. Reinforcement Learning: Exercise
Chapter 5. Unsupervised Learning
- Unsupervised Learning: Exercise
Chatper 6. Bayesian Approaches
- Bayesian Approaches: Exercise
Chapter 7: Deep Learning
- Chapter 7: Deep Learning: Exercise
Chapter 8. Multiple Agents
- Chapter 8. Multiple Agents: Exercise
Chapter 9. Meta-Learning
- Chapter 9. Meta-Learning: Exercise

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Chapter 9. Meta-Learning: Exercise

Chapter 9. Meta-Learning: Exercise#

Come up with daily-life examples of “learning to learn” and consider what computational processes may be involved.

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Chapter 9. Meta-Learning

By Kenji Doya

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