Question: Regularization in deep learning refers to techniques that help a deep network converge to a better solution. Dropout is technique that refers to . Updating

Regularization in deep learning refers to techniques that help a deep network converge to a better solution. Dropout is technique that refers to. Updating only random selected subset of neurons, normalizing input to layers, using convolution kernels or using ReLU activation

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