Reptile: A scalable meta-learning algorithm

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Reptile is a scalable meta-learning algorithm that updates initial parameters towards final parameters learned on a task

advanced Published 7 Mar 2018
Action Steps
  1. Sample a task
  2. Perform stochastic gradient descent on the task
  3. Update the initial parameters towards the final parameters learned on the task
  4. Repeat the process for multiple tasks
Who Needs to Know This

Machine learning researchers and engineers on a team can benefit from Reptile as it provides a simple and efficient way to perform meta-learning, allowing them to improve model performance on a variety of tasks

Key Insight

💡 Reptile is a scalable meta-learning algorithm that can be used with any optimizer, such as SGD

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🚀 Reptile: a simple & scalable meta-learning algorithm
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