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

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

Which of the following is a primary challenge in training very deep convolutional neural networks?Group of answer choicesInsufficient hardwareVanishing gradientsOver-regularizationLack of data

In neural networks, ______________ normalization is applied to stabilize and speed up the training process.

networks, ______________ normalization is applied to stabilize and speed up the training process.

Batch Normalization is helpful because.Question 17Select one:A.It returns the normalized mean and standard deviation of weights.B.It normalizes (changes) all the input before sending it to the next layer.C.None of theseD.It is a very efficient backpropagation technique.