Machine Learning
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Dropout
Quick Definition
Regularization randomly deactivating neurons during training
Full Definition
A regularization technique randomly deactivating neurons during training to prevent co-adaptation and overfitting.
Examples
neural network regularization, ensemble effect, overfitting prevention
Related Terms
regularization
overfitting
neural-network
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Regularized regression using L1 penalty for feature selection
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Probabilistic model using multiple Gaussian distributions
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