articleMultimedia Tools and ApplicationsJan 22, 2020Closed access

Dropout vs. batch normalization: an empirical study of their impact to deep learning

CGChristian GarbinXZXingquan ZhuOMOge Marques

Florida Atlantic University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

562
total citations
FWCI
27.76
Percentile
100%
References
29
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Computer science
  • Deep learning
  • Normalization (sociology)
  • Artificial intelligence
  • Dropout (neural networks)
  • Overfitting
  • Machine learning
  • Convolutional neural network
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