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Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat? (Adv. Sci. 35/2022)

Interpretable Machine Learning The semantic explainable AI (S‐XAI) discovers what makes a cat to be recognized as a cat in the convolutional neural networks by extracting common traits and establishing semantic space from diversified samples of cats. The visualized common traits contain identifiable...

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Detalles Bibliográficos
Autores principales: Xu, Hao, Chen, Yuntian, Zhang, Dongxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762285/
http://dx.doi.org/10.1002/advs.202270221

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