Evaluating the visualization of what a Deep Neural Network has learned
IEEE Transactions on Neural Networks and Learning Systems(2017)
摘要
Deep neural networks (DNNs) have demonstrated impressive performance in complex machine learning tasks such as image classification or speech recognition. However, due to their multilayer nonlinear structure, they are not transparent, i.e., it is hard to grasp what makes them arrive at a particular classification or recognition decision, given a new unseen data sample. Recently, several approaches...
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关键词
Heating,Neurons,Biological neural networks,Deconvolution,Sensitivity,Learning systems,Algorithm design and analysis
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