کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6863183 1439406 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Visualizing deep neural network by alternately image blurring and deblurring
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Visualizing deep neural network by alternately image blurring and deblurring
چکیده انگلیسی
Visualization from trained deep neural networks has drawn massive public attention in recent. One of the visualization approaches is to train images maximizing the activation of specific neurons. However, directly maximizing the activation would lead to unrecognizable images, which cannot provide any meaningful information. In this paper, we introduce a simple but effective technique to constrain the optimization route of the visualization. By adding two totally inverse transformations, image blurring and deblurring, to the optimization procedure, recognizable images can be created. Our algorithm is good at extracting the details in the images, which are usually filtered by previous methods in the visualizations. Extensive experiments on AlexNet, VGGNet and GoogLeNet illustrate that we can better understand the neural networks utilizing the knowledge obtained by the visualization.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 97, January 2018, Pages 162-172
نویسندگان
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