Improving Convolutional Neural Network Design via Variable Neighborhood Search

Author:

Araújo Teresa,Aresta Guilherme,Almada-Lobo Bernardo,Mendonça Ana Maria,Campilho Aurélio

Publisher

Springer International Publishing

Reference12 articles.

1. Lecture Notes in Computer Science;DC Cireşan,2013

2. Domhan, T., Springenberg, J.T., Hutter, F.: Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves. In: IJCAI International Joint Conference on Artificial Intelligence 2015, pp. 3460–3468, January 2015

3. Github: Cifar 10 CNN. https://github.com/fchollet/keras/blob/master/examples/cifar10_cnn.py

4. Hansen, P., Mladenovi, N.: Variable neighborhood search: principles and applications. Eur. J. Oper. Res. 130, 449–467 (2001)

5. Jin, J., Yan, Z., Fu, K., Jiang, N., Zhang, C.: Neural Network Architecture Optimization through Submodularity and Supermodularity, pp. 1–10 (2016)

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