Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations

Metehan Cekic, Can Bakiskan, Upamanyu Madhow

While end-to-end training of Deep Neural Networks (DNNs) yields state of the art performance in an increasing array of applications, it does not provide insight into, or control ov…