An energy-efficient convolution unit for depthwise separable convolutional neural networks

• Main Authors: Chong, Yi Sheng, Goh, Wang Ling, Ong, Yew-Soon, Nambiar, Vishnu P., Do, Anh Tuan
• 其他作者: Interdisciplinary Graduate School (IGS)
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2021
• 主題: Engineering::Electrical and electronic engineering; Convolutional Neural Network; CNN Accelerator
• 在線閱讀: https://hdl.handle.net/10356/152096

High performance but computationally expensive Convolutional Neural Networks (CNNs) require both algorithmic and custom hardware improvement to reduce model size and to improve energy efficiency for edge computing applications. Recent CNN architectures employ depthwise separable convolution to reduc...