Reinforcement Learning for Architecture Search by Network Transformation

  title={Reinforcement Learning for Architecture Search by Network Transformation},
  author={Han Cai and Tianyao Chen and Weinan Zhang and Yong Yu and Jun Wang},
Deep neural networks have shown effectiveness in many challenging tasks and proved their strong capability in automatically learning good feature representation from raw input. Nonetheless, designing their architectures still requires much human effort. Techniques for automatically designing neural network architectures such as reinforcement learning based approaches recently show promising results in benchmarks. However, these methods still train each network from scratch during exploring the… CONTINUE READING
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