Deep learning inversion methods based on a priori model constraints

What is it about?

We analyze the need for deep learning inversion and the problems with current models, and explore and validate a number of additional structures that would be beneficial to the model.

Featured Image

Photo by Scott Webb on Unsplash

Photo by Scott Webb on Unsplash

Why is it important?

Each deep learning model is a stack of individual modules, and exploring modules that are useful for inversion can help us understand deep learning and design more powerful models.