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Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification

In this project, our goal is to develop a method for interpreting how a neural network makes layer-by-layer embedded decisions when trained for a classification task, and also to use this insight for improving the model performance. To do this, we first approximate the distribution of the image repr...

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Detalles Bibliográficos
Autores principales:	Zhang, Fan, Dvornek, Nicha, Yang, Junlin, Chapiro, Julius, Duncan, James
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606489/ https://www.ncbi.nlm.nih.gov/pubmed/32356739 http://dx.doi.org/10.1109/TMI.2020.2990625

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