用于深度CNN的基于预定义稀疏内核的卷积 The high demand for computational and storage resources severely impede the deployment of deep convolutional neural networks (CNNs) in limited-resourc
低复杂度卷积神经网络的预定义稀疏性 The high energy cost of processing deep convolutional neural networks impedes their ubiquitous deployment in energy-constrained platforms such as embe