Hahahahaha reminds me of a saying about spherical cows. If Game Theory was being used as an "explanation" to show why deep learning outperforms other methods t

Hahahahaha reminds me of a saying about spherical cows. If Game Theory was being used as an "explanation" to show why deep learning outperforms other methods then maybe it would have been fine. But then we already have Statistical Learning Theory and PAC learning which try to explain/prove bounds on Machine Learning models. There is nothing wrong with having a theory but these days Deep Learning has become a bandwagon that any/everything gets related to. And I just don't see how Game Theory of all mathematical tools is applicable to Deep Learning. Finally the misguided theory driven approach was exactly the reason why Deep Learning was so controversial initially. Turns out making a theory like SLT and deriving ML models like SVMs is a really bad idea. Deep Learning succeeded because the ML and Vision community adopted empiricism over the fanciest/longest proof with covex loss. So when someone goes around claiming Game Theory as a savior/future of Deep Learning I find it perplexing.