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Information Entropy Measures for Evaluation of Reliability of Deep Neural Network Results
Deep neural networks (DNN) try to analyze given data, to come up with decisions regarding the inputs. The decision-making process of the DNN model is not entirely transparent. The confidence of the model predictions on new data fed into the network can vary. We address the question of certainty of d...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137523/ https://www.ncbi.nlm.nih.gov/pubmed/37190360 http://dx.doi.org/10.3390/e25040573 |