Abstract: The aim of this study is to give elements to predict time performances and power consumption performances in CNN implementation on embedded CPU boards. CNNs are effective in classifying EEG ...
flash-attention-with-sink implements an attention variant used in GPT-OSS 20B that integrates a "sink" step into FlashAttention. This repo focuses on the forward path and provides an experimental ...
Abstract: In edge computing systems with limited resources, such as mobile devices and the Internet of Things, the use of Convolutional Neural Network (CNN) accelerators on FPGA has increasingly ...
Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...
Abstract: A 3D object grasping point learning system is proposed in this paper, which contains object coordinate construction and grasping point learning. A RGBD Convolutional Neural Network (RGBD-CNN ...