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?