Analyzing the Training Processes of Deep Generative Models.

IEEE Transactions on Visualization and Computer Graphics(2018)

引用 167|浏览148
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摘要
Among the many types of deep models, deep generative models (DGMs) provide a solution to the important problem of unsupervised and semi-supervised learning. However, training DGMs requires more skill, experience, and know-how because their training is more complex than other types of deep models such as convolutional neural networks (CNNs). We develop a visual analytics approach for better underst...
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关键词
Training,Neurons,Time series analysis,Tools,Visual analytics,Analytical models
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