Question: Regularization Which of the following helps in regularization, avoiding overfitting of deep learning models to training data? Dropout SCD Adding more layers to the network

Regularization Which of the following helps in regularization, avoiding overfitting of deep learning models to training data?
Dropout
SCD
Adding more layers to the network
Using hyperbolic tangent for activation instead of sigmoid function
Using backpropagation

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