A genetic programming approach to designing convolutional neural network architectures

Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao. A genetic programming approach to designing convolutional neural network architectures. In Peter A. N. Bosman, editor, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017. pages 497-504, ACM, 2017. [doi]

@inproceedings{SuganumaSN17,
  title = {A genetic programming approach to designing convolutional neural network architectures},
  author = {Masanori Suganuma and Shinichi Shirakawa and Tomoharu Nagao},
  year = {2017},
  doi = {10.1145/3071178.3071229},
  url = {http://doi.acm.org/10.1145/3071178.3071229},
  researchr = {https://researchr.org/publication/SuganumaSN17},
  cites = {0},
  citedby = {0},
  pages = {497-504},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017},
  editor = {Peter A. N. Bosman},
  publisher = {ACM},
  isbn = {978-1-4503-4920-8},
}