Batch normalization can only be applied to convolutional layers.Group of answer choicesTrueFalse

Layer normalization is used to normalize inputs across the batch dimension.Group of answer choicesTrueFalse

What does not occur during batch normalization?Group of answer choicesNormalizing all points to have 0 mean and standard deviation 1.Learn an offset 𝛽 and a multiplicative scalar 𝛾.Calculating the mean and standard deviation for all the points in the mini batch.Increase the learning rate.

Feature normalization on inputs to hidden layers is not as simple as feature normalization on the original input. This is because at layer 𝑖, the input depends on the previous 𝑖−1 layers, and the weights will change as the weights are updated.Group of answer choicesTrueFalse

Question 1What task does Batch normalization do?1 pointWe normalize the input layer by adjusting and scaling the activations Reducing Internal Covariate Shift

In deep learning, the ______________ technique is used to normalize inputs to each layer to improve training stability.Group of answer choicesL2 RegularizationGradient ClippingDropoutBatch Normalization