Hi Ming-Jer,
I understand that you want to use your custom denoising network. I assume you have trained the network sucessfully using the procedure. After training the network using trainnetwork, it returns a trained network in the output argument. There is no need to initialize a network using denoisingNetwork. denoiseImage can accepts as input the trained network and returns a denoised image.
Hope this helps.
