Deep learning: prevent overfitting && speed up training
prevent overfitting： 1. 在loss function上添加L1、L2正則項 2. Drop out 3. Data augmentation 4. early stopping 在Keras上都有對應的實現方式 speed up training 1. normalization（零均值化 + 歸一化方差），why normalization？因爲如果input 差別很
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相關文章
- 1. LC-RNN: A Deep Learning Model for Traffic Speed Prediction
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- 5. why deep learning works
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