Weight and Gradient Centralization in Deep Neural Networks
نویسندگان
چکیده
Batch normalization is currently the most widely used variant of internal for deep neural networks. Additional work has shown that weights and additional conditioning as well gradients further improve generalization. In this work, we combine several these methods thereby increase generalization The advantage newer compared to batch not only increased generalization, but also have be applied during training and, therefore, do influence running time use. https://atreus.informatik.uni-tuebingen.de/seafile/d/8e2ab8c3fdd444e1a135/?p=%2FWeightAndGradientCentralization&mode=list.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-86380-7_19