Georgia Tech: New Visualization Tool Helps Non-Experts Understand Neural Networks

Georgia Tech: New Visualization Tool Helps Non-Experts Understand Neural Networks. “‘Visual analytics helps people make sense of complex systems that use large data and discover insights by effectively visualizing them and let people interact with them,’ said Minsuk (Brian) Kahng, a Ph.D. student in the School of Computational Science and Engineering (CSE). Kahng has recently been working alongside Associate Professor Polo Chau to build visualization tools for deep learning models, with an emphasis on public accessibility. Two examples of his work are ActiVis, a visualization system for industry-scale deep neural network models that is deployed at Facebook, and the newly released GAN Lab, which is now available to the public online.”

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