Reducing Overfitting in Deep CNNs-PPT
本系列文章由 @yhl_leo 出品，轉載請註明出處。 文章鏈接： http://blog.csdn.net/yhl_leo/article/details/66969915 源自： Yhlleo’s Notes 大家好，今天我要講的內容是在深度學習的卷積神經網絡中，如何減弱過擬合問題的相關研究，最近剛好在修改論文，就把相關的方法和技術整理出來，對於怎樣選擇和設計網絡模型具有一定的指導性，
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相關文章
- 1. Deep learning: prevent overfitting && speed up training
- 2. Overfitting
- 3. Deep Learning in R
- 4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文解讀
- 5. RUBi: Reducing Unimodal Biases in Visual Question Answering
- 6. Technology companies have become leaders in reducing energy use
- 7. Regularization - The problem of overfitting
- 8. overfitting和regularization、dropout
- 9. ESP8266 in deep sleep
- 10. 【論文閱讀筆記】——Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift