MUNet: Macro Unit-Based Convolutional Neural Network for Mobile Devices

Deep neural networks perform better than traditional machine learning methods on various classification problems by producing good quality feature maps through successive convolution operation(s). However, when implementing a deep neural network in an embedded system or SoC for mobile devices, its large parameter size can be a significant burden on the internal memory design. In this paper, we propose a new deep neural network that reduces...