Automatic Design of Deep Networks with Neural Blocks

Author:

Zhong GuoqiangORCID,Jiao Wencong,Gao Wei,Huang Kaizhu

Funder

Key Technologies Research and Development Program

Young Scientists Fund

Science and Technology Program of Qingdao

CERNET Innovation Project

Fundamental Research Funds for the Central Universities of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference44 articles.

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2. Bengio Y. Gradient-based optimization of hyperparameters. Neural Comput 2000;12(8):1889–1900.

3. Bergstra J, Bengio Y. Random search for hyper-parameter optimization. J Mach Learn Res 2012;13:281–305.

4. Bergstra J, Yamins D, Cox DD. 2013. Making a science of model search: hyperparameter optimization in hundreds of dimensions for vision architectures. In: ICML, pp 115–123.

5. Botev A, Lever G, Barber D. 2017. Nesterov’s accelerated gradient and momentum as approximations to regularised update descent. In: IJCNN, pp 1899–1903.

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