Improving CNN Performance Accuracies With Min-Max Objective.

IEEE Transactions on Neural Networks and Learning Systems(2018)

引用 42|浏览101
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摘要
We propose a novel method for improving performance accuracies of convolutional neural network (CNN) without the need to increase the network complexity. We accomplish the goal by applying the proposed Min-Max objective to a layer below the output layer of a CNN model in the course of training. The Min-Max objective explicitly ensures that the feature maps learned by a CNN model have the minimum w...
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关键词
Training,Manifolds,Complexity theory,Face,Data models,Neural networks,Computational modeling
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