I have a model, where in some part of which I have used 3 convolutional layers each having 3*3 kernel size parallelly like this

(in_) # My InstantiateModel

x1 = Conv2D(32, 3, padding="same")(in_)

x2 = Conv2D(32, 3, padding="same")(in_)

x3 = Conv2D(32, 3, padding="same")(in_)

So basically a 3*3 kernel is a 3*3 matrix, so I want to know what are the values of those kernels/matrix. In a convolutional layer we are directly specifying the size of kernel like above, where 3 is the kernel size , but what are the values of those kernel ?

For my case where I am using 3 layers with same kernel size parallelly, so are the values of each kernel same for each layer or different. Please provide me some information on this thing.