Regularization
Regularization discourages a model from fitting training data too narrowly, improving its ability to generalize to new examples.
#Regularization
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Dropout
Dropout regularizes a neural network by randomly disabling some units during training to reduce overreliance and overfitting.
Weight Decay
Weight decay is a regularization method that limits large model weights during training to reduce overfitting and improve generalization.