How the number of parameters associated with BatchNormalization layer is 2048?

Question

I have the following code.

x = keras.layers.Input(batch_shape = (None, 4096))
hidden = keras.layers.Dense(512, activation = \'relu\')(x)
hidden = keras.layers.Ba         


        

Answer 1

These 2048 parameters are in fact [gamma weights, beta weights, moving_mean(non-trainable), moving_variance(non-trainable)], each having 512 elements (the size of the input layer).