A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.
IEEE Transactions on Neural Networks and Learning Systems(2015)
摘要
Hierarchical deep neural networks are currently popular learning models for imitating the hierarchical architecture of human brain. Single-layer feature extractors are the bricks to build deep networks. Sparse feature learning models are popular models that can learn useful representations. But most of those models need a user-defined constant to control the sparsity of representations. In this pa...
更多查看译文
关键词
Feature extraction,Pareto optimization,Brain modeling,Neural networks,Linear programming,Evolutionary computation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络