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
More Machine Learning Terms
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Hyperparameter Tuning
Finding optimal configuration values before training
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
XGBoost
Optimized gradient boosting library for structured data
Loss Function
Math function measuring prediction vs actual value difference
Gradient Descent
Optimization algorithm minimizing loss by steepest descent