# Understanding declared parameters in my Conv2d layer of my convolutional neural network

I am trying to understand the architecture of my keras model implemented by the sequential model.

Here is a piece of the code :

model = Sequential([
#block1

Bot the name and input_shape come from the Layer class which Conv2D inherited. In the doc you provide, they are implicitly in **kwargs