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Found 4 papers, 2 papers with code
Efficient Training Under Limited Resources
Training time budget and size of the dataset are among the factors affecting the performance of a Deep Neural Network (DNN).
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm
Deep neural networks are getting larger.
Use of static surrogates in hyperparameter optimization
Optimizing the hyperparameters and architecture of a neural network is a long yet necessary phase in the development of any new application.
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search
The performance of deep neural networks is highly sensitive to the choice of the hyperparameters that define the structure of the network and the learning process.
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