Skip to content

Latest commit

 

History

History
22 lines (14 loc) · 903 Bytes

README.md

File metadata and controls

22 lines (14 loc) · 903 Bytes

Using MO-TPE for neural architecture search

Dependencies

Please install the dependencies via:

pip install -r requirements.txt

Features:

  • Neural architecture search as hyperparameter optimization but caring about two objectives: maximizing test set accuracy and minimizing network size.
  • Hierachichal search space for convolutional neural nets.
  • Multifidelity: implemeted a speedup technique that stops for worst configurations at an early stage (similarly to successive halving)

Original code base made available by paper authors:

Yoshihiko Ozaki

Shuhei Watanabe

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems