Interactive Classification for Deep Learning Interpretation

14 Jun 2018Ángel Alexander CabreraFred HohmanJason LinDuen Horng Chau

We present an interactive system enabling users to manipulate images to explore the robustness and sensitivity of deep learning image classifiers. Using modern web technologies to run in-browser inference, users can remove image features using inpainting algorithms and obtain new classifications in real time, which allows them to ask a variety of "what if" questions by experimentally modifying images and seeing how the model reacts... (read more)

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