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Journal of Machine Learning Research305 Submitted 3/11; Revised 9/11; Published 2/12 Random Search for Hyper-Parameter Optimization James Bergstra
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Document Date: 2017-07-22 15:40:29


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File Size: 711,21 KB

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Mead / Deep Belief Networks / Optimizing Neural Networks / Neural Networks / /

IndustryTerm

grid search / random search experiment involving / random search / compares random search / grid search experiments / makes grid search / unsupervised learning pretraining algorithms / actual learning algorithm / optimization algorithms / optimization algorithm / manual search / search dimensions / random search experiments / practice vs. grid search / network learning algorithm / belief networks / high-dimensional search spaces / wasted grid search trials / hyper-parameter optimization algorithms / pure grid search / hyper-parameter selection grid search / then grid search / typical learning algorithm / search space / machine learning software packages / learning algorithm / learning algorithms / /

Person

Leon Bottou Abstract Grid / James Bergstra Yoshua Bengio / James Bergstra / Yoshua Bengio / /

Position

Editor / Bishop / researcher / /

ProgrammingLanguage

Python / K / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

learning algorithm / hyper-parameter optimization algorithms / neural network / optimization algorithms / unsupervised learning pretraining algorithms / Machine Learning / simulation / actual learning algorithm / typical learning algorithm / optimization algorithm / network learning algorithm / /

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http /

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