Towards Explainable Deep Neural Networks (xDNN)

In this paper, we propose an elegant solution that is directly addressing the bottlenecks of the traditional deep learning approaches and offers a clearly explainable internal architecture that can outperform the existing methods, requires very little computational resources (no need for GPUs) and short training times (in the order of seconds). The proposed approach, xDNN is using prototypes... (read more)

Results in Papers With Code
(↓ scroll down to see all results)