Human Understandable Interpretation of Deep Neural Networks Decisions Using Generative Models
Deep Neural Networks have long been considered black box systems, where their interpretability is a concern when applied in safety critical systems. In this work, a novel approach of interpreting the decisions of DNNs is proposed. The approach depends on exploiting generative models and the interpre...
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| Format: | Others |
| Language: | English |
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Högskolan i Halmstad, Halmstad Embedded and Intelligent Systems Research (EIS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41035 |