Reinforcement Learning: Meta-Learning Deep Networks - Interview with Chelsea Finn, Google Brain
May 13, 2019 ·
17m 13s
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Description
Deep learning has enabled significant advances in a variety of domains; however, it relies heavily on large labeled datasets. Chelsea explains how we can use meta-learning, or learning to learn,...
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Deep learning has enabled significant advances in a variety of domains; however, it relies heavily on large labeled datasets. Chelsea explains how we can use meta-learning, or learning to learn, to enable us to adapt deep models to new tasks with tiny amounts of data, by leveraging data from other tasks.
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