Survey on Deep Learning with Imbalanced Data Sets
碩士 === 國立政治大學 === 應用數學系 === 108 === This paper is a survey on deep learning with imbalanced data sets and anomaly detection. We create two imbalanced data sets from MNIST for multi-classification task with minority classes 0,1,4,6,7 and binary classification task with minority class 0. Our data set...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/b8r339 |