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Deep Learning
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Regularization & Stability
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Batch normalization
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52.
Batch Normalization Placement
easy
Where is batch normalization typically applied in a neural network?
A
Between a linear transformation and its nonlinear activation function
B
Before the input layer to normalize the raw input features to zero mean and unit variance
C
After the final activation function of each layer to normalize the layer's output
D
After the loss function computation to normalize gradients before backpropagation begins
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