1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: A system for large-scale machine learning. In 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16). 265-283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. Tensorflow: A system for large-scale machine learning. In 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16). 265-283.
2. Bowen Baker , Otkrist Gupta , Nikhil Naik , and Ramesh Raskar . 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 ( 2016 ). Bowen Baker, Otkrist Gupta, Nikhil Naik, and Ramesh Raskar. 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 (2016).
3. Wolfgang Banzhaf , Peter Nordin , Robert E Keller , and Frank D Francone . 1998. Genetic programming . Springer . Wolfgang Banzhaf, Peter Nordin, Robert E Keller, and Frank D Francone. 1998. Genetic programming. Springer.
4. James Bergstra Daniel Yamins and David Daniel Cox. 2013. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. (2013). James Bergstra Daniel Yamins and David Daniel Cox. 2013. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. (2013).