Help needed on complex-valued neural networks

Hello deep learning people, for the context I'm an undergrad student researching on complex valued neural-networks and I need to implement them from scratch as a first step. I'm really struggling with the backproagation part of it. For real-valued networks I have the understanding of backproagation, but struggling with applying Wirtinger calculus on complex networks. If any of you have ever worked in the complex domain, can you please help me on how to get easy with the backproagation part of the network, it'll be of immense help.

Apologies if this was not meant to be asked here, but im really struggling with it and reading research papers isn't helping at the moment. If this was not the right sub for the question, please redirect me to the right one.