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[logseq-plugin-git:commit] 2024-08-08T01:54:05.030Z
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journals/2024_08_07.md

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- **in navigation -> not enough -> transfer learning** (predictable behavior)
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might not suitable for INS
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- avoid overfitting by **early stop**
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- avoid overfitting by use of **L1 or L2 regularization**
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- for ConvNet
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- dropout
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- **Overfitting is some how creating stuff**
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- avoid overfitting by use of **L1 or L2 regularization penalty**
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- for ConvNet (Or large network)
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- **dropout**
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for forward prop. randomly close some of the neurals (test if the neural is important)
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- **Batch normalization** (image processing)
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Normalization of the result from batch:
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Loss of imformation? remove outlier?
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![Normalization in Deep Learning – calculated | content](https://calculatedcontent.com/wp-content/uploads/2017/06/batchnorm2-e1497643748774.png){:height 269, :width 409}
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- **Overfitting is some how creating stuff** (Nerf)
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