2018
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
ICLR 2018poster
Deep learning networks have achieved state-of-the-art accuracies on computer vision workloads like image classification and object detection. The performant systems, however, typically involve big models with numerous parameters. Once trained, a challenging aspect for such top performing models is d…