Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks

The undeniable computational power of artificial neural networks has granted the scientific community the ability to exploit the available data in ways previously inconceivable. However, deep neural networks require an overwhelming quantity of data in order to interpret the underlying connections be...

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Detalles Bibliográficos
Autores principales: Avgerinos, Christos, Vretos, Nicholas, Daras, Petros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921448/
https://www.ncbi.nlm.nih.gov/pubmed/36772365
http://dx.doi.org/10.3390/s23031325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921448/
https://www.ncbi.nlm.nih.gov/pubmed/36772365
http://dx.doi.org/10.3390/s23031325

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