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BI 123 Irina Rish: Continual Learning

Brain Inspired

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The Meta Learning Approach to Machine Learning

The meta learning is essentially very similar to continual learning, but it does not assume that your different data sets came in a sequence. And you try to learn from common model that will be easily adaptable to any new environment or data set. So they all ol. Dis terminology, in a sense, comes together and has many shared aspects. It's just e, as i said, unfortunate babylon power situation and machine learning that makes it difficult. The set of ideas is much less dimensional than the anbea dimension in terms of our terminology. so they need machine leanig compression.

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