Norm-Based Capacity Control in Neural Networks

This work addresses theoretical properties of neural networks for researchers, but appears incremental as it builds on existing norm-based methods without clear new applications.

The paper investigates the capacity, convexity, and characterization of norm-constrained feed-forward neural networks, but does not specify concrete results or numbers.