Journal of Machine Learning Research[removed]1958 Submitted 11 13; Published 6 14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting - Simple machine - Document - PDFSEARCH.IO

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	Journal of Machine Learning Research[removed]1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Add to Reading List Document Date: 2014-07-26 23:05:09 Open Document File Size: 2,74 MB Share Result on Facebook City Toronto / / Company Prevent Neural Networks / Reuters / / Country Canada / / / Facility Computer Science University of Toronto / / IndustryTerm element-wise product / large neural networks / thinned network / dropout networks / dropout neural networks / neural network / large network / dropout network / machine learning systems / larger network / sub-network / neural networks / Large networks / possible thinned neural networks / 2n networks / / Organization University of Toronto / Kings College / / Person Ruslan Salakhutdinov / Alex Krizhevsky / Ilya Sutskever Ruslan Salakhutdinov / Geoffrey Hinton / Nitish Srivastava / Ilya Sutskever / Geoffrey Hinton Alex Krizhevsky Ilya / / Position Editor / feed-forward / / ProvinceOrState Ontario / / PublishedMedium Journal of Machine Learning Research / / Technology speech recognition / neural network / Machine Learning / / SocialTag Learning Artificial intelligence Early stopping Backpropagation Supervised learning Regularization Overfitting Boltzmann machine Generalization error Neural networks

Journal of Machine Learning Research[removed]1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from OverfittingAdd to Reading List