Which of these techniques are useful for reducing variance (reducing overfitting)? (Check all that apply.)

  1. Which of these techniques are useful for reducing variance (reducing overfitting)? (Check all that apply.)
    •  Gradient Checking
    •  L2 regularization
    •  Xavier initialization
    •  Exploding gradient
    •  Dropout
    •  Vanishing gradient
    •  Data augmentation

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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Coursera Quiz Answer

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