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Bouman, Nikki (author), Jaggi, Vanisha (author), Khattat, Mostafa (author), Salami, Nima (author), Wernet, Victor (author), Zonneveld, Wouter (author)
Artificial Intelligence (AI) is increasingly affecting people’s lives. AI is even employed in fields where human lives depend on the AI’s decisions. However, these algorithms lack transparency, i.e. it is unclear how they determine the outcome. If, for instance, the AI’s purpose is to classify an image, the AI will learn this from examples...
student report 2019
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Khademi, S. (author), Shi, X. (author), Mager, Tino (author), Siebes, R.M. (author), Hein, C.M. (author), De Boer, Victor (author), van Gemert, J.C. (author)
We address the interpretability of convolutional neural networks (CNNs) for predicting a geo-location from an image. In a pilot experiment we classify images of Pittsburgh vs Tokyo and visualize the learned CNN filters. We found that varying the CNN architecture leads to variating in the visualized filters. This calls for further...
conference paper 2018