2017 ICLR Neural Architecture Search with Reinforcement Learning

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Overview

Nerual networks are hard to design.

In this paper, we use a recurrent network to generate the model descriptions of neural networks and train this RNN with reinforcement learning to maximize the expected accuracy of the generated architectures on a validation set.

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Created Oct 23, 2020 // Last Updated Aug 31, 2021

If you could revise
the fundmental principles of
computer system design
to improve security...

... what would you change?