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regularization

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      1 min de lecture

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      llms.txt

    usually prone to overfitting given they are often over-parameterized

    1. We can usually add regularization terms to the objective functions
    2. Early stopping
    3. Adding noise
    4. structural regularization, via adding dropout

    dropout

    a case of structural regularization

    a technique of randomly drop each node with probability pp

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