GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation.

IEEE Transactions on Visualization and Computer Graphics(2019)

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摘要
Recent success in deep learning has generated immense interest among practitioners and students, inspiring many to learn about this new technology. While visual and interactive approaches have been successfully developed to help people more easily learn deep learning, most existing tools focus on simpler models. In this work, we present GAN Lab, the first interactive visualization tool designed fo...
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关键词
Gallium nitride,Machine learning,Tools,Generative adversarial networks,Generators,Training,Data visualization
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