In recent years, deep neural networks have reached state of the art performance across many different domains. Computer vision in particular has benefited immensely from deep learning. Despite their high performance, deep neural networks often lack interpretability andare mostly regarded as a black box. Therefore, the availability of tools capable to provide insights into the models and identify potential errors is crucial. In this paper we propose iNNvestigate-GUI, an open-source graphical toolbox which offers an extensive set of features for users to interact with and compare different networks.
iNNvestigate-GUI - Explaining neural networks through an interactive visualization tool / Garcea, Fabio; Famouri, Sina; Valentino, Davide; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - 12294(2020), pp. 291-303. ((Intervento presentato al convegno 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2020) tenutosi a Winterthur, Switzerland nel September 2-4, 2020.
Titolo: | iNNvestigate-GUI - Explaining neural networks through an interactive visualization tool |
Autori: | |
Data di pubblicazione: | 2020 |
Abstract: | In recent years, deep neural networks have reached state of the art performance across many ...different domains. Computer vision in particular has benefited immensely from deep learning. Despite their high performance, deep neural networks often lack interpretability andare mostly regarded as a black box. Therefore, the availability of tools capable to provide insights into the models and identify potential errors is crucial. In this paper we propose iNNvestigate-GUI, an open-source graphical toolbox which offers an extensive set of features for users to interact with and compare different networks. |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2839527