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