Hi,
I am new to tensor flow and currently am reading Keras. So I see a code like this:
tf.keras.layers.Dense(
    units,
    activation=None,
    use_bias=True,
    kernel_initializer="glorot_uniform",
    bias_initializer="zeros",
    kernel_regularizer=None,
    bias_regularizer=None,
    activity_regularizer=None,
    kernel_constraint=None,
    bias_constraint=None,
    **kwargs
)

I see that there are couple of initializers and Regularizers and Constraint BOTH for Bias as well as kernel. I have searched on the internet but could not find the calling sequence information. For example is the calling sequence like this:
use_bias → bias_initializer → bias_regularizer → bias_constraint   AND
kernel_initializer → kernel_regularizer → kernel_constraint
or is the constraint called before regularizer.
Also is kernel = activation function or kernel is something that runs activation function?