Improving the performance of deep neural networks (DNNs) is important to...
When deploying a deep neural network on constrained hardware, it is poss...
The time and effort involved in hand-designing deep neural networks is
i...
Convolutional Neural Networks (CNN) are becoming a common presence in ma...
Humans tackle new problems by making inferences that go far beyond the
i...
The desire to run neural networks on low-capacity edge devices has led t...
Despite recent developments, deploying deep neural networks on resource
...
The task of accelerating large neural networks on general purpose hardwa...
Pruning is a popular technique for compressing a neural network: a large...
Convolutional Neural Networks (CNNs) are extremely computationally deman...