Regularized Pooling
Abstract 在CNNs中pooling的作用：dimensionality reduction and deformation compensation. 但是存在問題：its excessive flexibility risks canceling the essential spatial differences between classes.(過度靈活性可能會抵消類之間的本質空間差異
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相關文章
- 1. Regularization - Regularized logistic regression
- 2. 池化Pooling中的Max Pooling
- 3. Roi pooling,Roi Align,Precise Roi pooling
- 4. 【ROI Pooling】Region of interest pooling
- 5. 【閱讀筆記】Adversarially Regularized Autoencoders
- 6. Linguistically Regularized LSTMs for Sentiment Classification
- 7. FireDac Pooling
- 8. ROI Pooling
- 9. ROI pooling
- 10. Global Average Pooling與FC與Average Pooling與 Global Max Pooling