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Dropout
Regularization technique that randomly deactivates neurons during training to prevent overfitting, forcing the model to be more robust.
Intermediate regularizacion entrenamiento overfitting
Full definition
Regularization technique that randomly deactivates neurons during training to prevent overfitting, forcing the model to be more robust.
Example in a business context
Applying dropout of 0.5 in dense layers so the model doesn't memorize training data.