Pseudo-Label：The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
這是一篇發表在 ICML 2013 的文章，作爲半監督神經網絡的一篇代表文章。【文章】【代碼】文章中採用了pesudo-label的方法來作爲無標籤樣本的僞標籤。文章的主要想法是self-training，僞標籤的確定也是通過有標記樣本訓練的神經網絡，來對無標記的樣本進行預測，選擇出只選擇對每個未標記的樣本具有最大預測概率的類。 這個方法爲什麼會成功，文章中解釋到：（1）低密度分離（2）熵要小，這
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相關文章
- 1. Neural Networks and Deep Learning
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- 10. Neural Networks and Deep Learning（week4）深層神經網絡（Deep Neural Networks）