Corpus ID: 219558595

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges

@article{Lpez2020NeuroevolutionID,
  title={Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges},
  author={E. L{\'o}pez and P. Mooney},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.05415}
}
A variety of methods have been applied to the architectural configuration and learning or training of artificial deep neural networks (DNN). These methods play a crucial role in the success or failure of the DNN for most problems and applications. Evolutionary Algorithms (EAs) are gaining momentum as a computationally feasible method for the automated optimisation and training of DNNs. Neuroevolution is a term which describes these processes of automated configuration and training of DNNs using… Expand
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References

SHOWING 1-10 OF 169 REFERENCES
Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks
  • 82
  • Highly Influential
  • PDF
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
  • 384
  • Highly Influential
  • PDF
Genetically-trained deep neural networks
  • 5
Neuroevolution: from architectures to learning
  • 591
  • PDF
Large scale evolution of convolutional neural networks using volunteer computing
  • 52
  • PDF
Evolving Neural Networks through Augmenting Topologies
  • 2,630
  • Highly Influential
  • PDF
NSGA-Net: neural architecture search using multi-objective genetic algorithm
  • 81
  • Highly Influential
  • PDF
Evolving the Topology of Large Scale Deep Neural Networks
  • 23
  • PDF
NEMO : Neuro-Evolution with Multiobjective Optimization of Deep Neural Network for Speed and Accuracy
  • 38
  • Highly Influential
...
1
2
3
4
5
...