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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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+ {:height 269, :width 409}
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+ - ** Overfitting is some how creating stuff** (Nerf)
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