A (future) set of tools to understand the inner working of deep neural networks using visualization techniques.

Project members

Publications and Related Demos

A. Halnaut, R. Giot, R. Bourqui, D. Auber. Deep Dive into Deep Neural Networks with Flows. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020): IVAPP, Feb 2020, Valletta, Malta. pp.231-239.

Link to Demo

A. Halnaut, R. Giot, R. Bourqui, D. Auber. Samples Classification Analysis Across DNN Layers with Fractal Curves. ICPR 2020's Workshop Explainable Deep Learning for AI, Jan 2021, Milano (virtual), Italy.


User evaluation non-uniform projection / grid projection for visualization of high-dimensional data