To be fair, most of the machine learning literature had no or a poor excuse for peer review. And many deep learning layers can be described by dense layers. For example, convolution.

You almost certainly can frame Go playing as polynomial regression but there would undoubtedly be numerical precision & other gradient issues. Deep learning is a practice is remarkably effective, no disagreement there.