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An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters.
Julie Keisler
El-Ghazali Talbi
Sandra Claudel
Gilles Cabriel
Published in:
CoRR (2023)
Keyphrases
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neural network
hyperparameters
bayesian framework
computer vision
genetic algorithm
active learning
data mining
artificial neural networks
data sets
bayesian networks
support vector
model selection
generative model
sample size
cross validation