Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
Abstract: Traditional Network-on-Chip (NoC) architectures frequently suffer from network congestion when processing complex Convolutional Neural Network (CNN) models, primarily due to the massive data ...
This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...