Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization

Konstantinos Balaskas, Andreas Karatzas, Christos Sad +4

Deep Neural Networks (DNNs) have shown significant advantages in a wide variety of domains. However, DNNs are becoming computationally intensive and energy hungry at an exponential…