Search Results for author: Panagiotis Filntisis

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Trainable Learning Rate

no code implementations29 Sep 2021 George Retsinas, Giorgos Sfikas, Panagiotis Filntisis, Petros Maragos

Selecting an appropriate learning rate for efficiently training deep neural networks is a difficult process that can be affected by numerous parameters, such as the dataset, the model architecture or even the batch size.

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