When deploying Deep Neural Networks (DNNs), developers often convert mod...
Image recognition tasks typically use deep learning and require enormous...
With the research advancement of Artificial Intelligence in the last yea...
Image recognition tasks typically use deep learning and require enormous...
As Deep Neural Networks (DNNs) have become an increasingly ubiquitous
wo...
Reconfigurable accelerators for deep neural networks (DNNs) promise to
i...
Auto-scheduling for tensor programs is a process where a search algorith...
Edge computing devices inherently face tight resource constraints, which...
Optimising deep learning inference across edge devices and optimisation
...
When deploying a deep neural network on constrained hardware, it is poss...