Optimization of convolutional neural network using microcanonical annealing algorithm

@article{Ayumi2016OptimizationOC,
  title={Optimization of convolutional neural network using microcanonical annealing algorithm},
  author={Vina Ayumi and L. M. R. Rere and M. I. Fanany and A. M. Arymurthy},
  journal={2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
  year={2016},
  pages={506-511}
}
  • Vina Ayumi, L. M. R. Rere, +1 author A. M. Arymurthy
  • Published 2016
  • Computer Science
  • 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)
  • Convolutional neural network (CNN) is one of the most prominent architectures and algorithm in Deep Learning. [...] Key Method In this paper, another type of metaheuristic algorithms with different strategy has been proposed, i.e. Microcanonical Annealing to optimize Convolutional Neural Network. The performance of the proposed method is tested using the MNIST and CIFAR-10 datasets. Although experiment results of MNIST dataset indicate the increase in computation time (1.02x–1.38x), nevertheless this proposed…Expand Abstract
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