No, the nn.ReLU() module and the functional API call via F.relu won’t use any parameters.
The 10 parameters you are seeing are coming from the weight and bias of the other 5 layers (conv and linear).
You might get more information by using e.g. model.named_parameters(), which will also return the parameter name.