Deep learning: prevent overfitting && speed up training
prevent overfitting： 1. 在loss function上添加L1、L2正则项 2. Drop out 3. Data augmentation 4. early stopping 在Keras上都有对应的实现方式 speed up training 1. normalization（零均值化 + 归一化方差），why normalization？因为如果input 差别很
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相关文章
- 1. LC-RNN: A Deep Learning Model for Traffic Speed Prediction
- 2. Dropout:A Simple Way to Prevent Neural Networks from Overfitting
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- 4. Deep Learning in R
- 5. why deep learning works
- 6. Overfitting
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- 10. [Converge] Feature Selection in training of Deep Learning