Automated learning rate search using batch-level cross-validation

Deep learning researchers and practitioners have accumulated a significant amount of experience on training a wide variety of architectures on various datasets. However, given a network architecture and a dataset, obtaining the best model (i.e. the model giving the smallest test set error) while ke...

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Bibliographic Details
Main Authors: Emre Akbaş, Duygu Kabakçı
Format: Article
Language:English
Published: Sakarya University 2021-12-01
Series:Sakarya University Journal of Computer and Information Sciences
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/1761057