Question about batch normalization

Hello,

I am reading the book Deep learning with python 2nd edition from Francois Chollet and on chapter 9.3.3 (p. 257). Introduces the batch normalization and it recommends to write like that:

x = layers.Conv2D(32, 3, use\_bias=False)(x)

x = layers. BatchNormalization() (x)

x = layers.Activation("relu")(x)

instead of

x = layers.Conv2D(32, 3, use\_bias=False, activation = "relu")(x)

x = layers. BatchNormalization() (x)

And explains it liek that:

"Doing normalization before the activation maximizes ther utalization of the relu.

I understand this because …

deeplearning normalization