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Nerual -> Neural #1000

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Jan 15, 2020
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# About the Nerual Architecture Search with Reinforcement Learning Suggestion
# About the Neural Architecture Search with Reinforcement Learning Suggestion

The algorithm follows the idea proposed in *Neural Architecture Search with Reinforcement Learning* by Zoph & Le (https://arxiv.org/abs/1611.01578), and the implementation is based on the github of *Efficient Neural Architecture Search via Parameter Sharing* (https://github.com/melodyguan/enas). It uses a recurrent neural network with LSTM cells as controller to generate neural architecture candidates. And this controller network is updated by policy gradients. However, it currently does not support parameter sharing.

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