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Batch Normalization (BN) is an important preprocessing step to many deep learning applications. Since it is a data-dependent process, for some homogeneous datasets it is a redundant or even a performance-degrading process. In this paper, we propose a
Externí odkaz:
http://arxiv.org/abs/2211.02050
Publikováno v:
2023 International Conference on Smart Computing and Application (ICSCA).
Batch Normalization (BN) is an important preprocessing step to many deep learning applications. Since it is a data-dependent process, for some homogeneous datasets it is a redundant or even a performance-degrading process. In this paper, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4509211c81c3df1770605682a0df1b01
https://doi.org/10.1109/icsca57840.2023.10087711
https://doi.org/10.1109/icsca57840.2023.10087711
