Which statement is incorrect?

Group of answer choices

The hyperparameters may be tuned using the same data for gradient descent.

One possible approach to initialize the weights is to generate random values from a Gaussian distribution with zero mean and a small standard deviation, such as $10^\{2\}.$

The candidate hyperparameters should be selected for testing by random sampling, grid search, active learning, or Bayesian optimization.

In feature preprocessing, when feature normalization is combined with mean$-$centering, the data is said to have been standardized.