β and γ are hyperparameters of the algorithm, which we tune via random sampling.Which of the following statements about γ and β in Batch Norm are true?
They set the mean and variance of the linear variable
There is one global value of 
and one global value of for each layer, and applies to all the hidden units in that layer.
Every hyperparameter, if set poorly, can have a huge negative impact on training, and so all hyperparameters are about equally important to tune well. True or False? True False Yes We’ve seen in lecture that some hyperparameters, such as the learning rate, are more critical than others. Get All Week Quiz Answer: Improving Deep Neural…
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