DNN

Latest Research Achievements of the Intelligent Detection and Edge Computing Research Group Published in the Renowned Journal ‘Computer Networks’

by
Latest Research Achievements of the Intelligent Detection and Edge Computing Research Group Published in the Renowned Journal 'Computer Networks'

Click the blue text Follow us Article Introduction Recently, the Intelligent Detection and Edge Computing Research Group of the School of Electronic Information published their latest research results titled “DGPAS: DQN-GRU Guided Distributed DNN Pipeline Training and Adjacent Scheduling in Edge Networks” in the internationally renowned journal ‘Computer Networks’ (CCF Class B, JCR Zone 1). … Read more

Summary of Multi-task Learning Methods

by
Summary of Multi-task Learning Methods

Follow the WeChat public account “ML_NLP“ and set it as a “starred“, delivering substantial content to you in real-time! This article is authorized to be transferred from the Zhihu author Anticoder, https://zhuanlan.zhihu.com/p/59413549. Unauthorized reproduction is prohibited. Background: Focusing solely on a single model may overlook potential information that could enhance the target task from related … Read more

Overview of Multi-task Learning

by
Overview of Multi-task Learning

Author: Anticoder Column: Optimazer’s Garden https://zhuanlan.zhihu.com/p/59413549 Background: Focusing solely on a single model may overlook potential information that could enhance the target task from related tasks. By sharing parameters to some extent between different tasks, the original task may generalize better. Broadly speaking, as long as there are multiple losses, it counts as MTL, with … Read more

On-Demand Optimizing Deep Learning Model Based on Edge Computing

by
On-Demand Optimizing Deep Learning Model Based on Edge Computing

022 Issue 9 Directory | Special Topic [Edge Artificial Intelligence for 6G] Intent-Driven Edge Intelligent Network for 6G Intelligent Grouping Mechanism in 6G Drone Edge Computing Scenarios Wireless Federated Learning Based on Spiking Neural Networks Special Topic 4 Edge Artificial Intelligence for 6G Mobile Communications, 2022 Issue 9 On-Demand Optimizing Deep Learning Model Based on … Read more

DAC 2019 Low Power Object Detection System Design Challenge: GPU and FPGA Dual Championship Solutions Explained

by
DAC 2019 Low Power Object Detection System Design Challenge: GPU and FPGA Dual Championship Solutions Explained

Machine Heart Released Author: Zhang Xiaofan On June 5, 2019, the second “Low Power Object Detection System Design Challenge” hosted by the top electronic automation design conference DAC concluded in Las Vegas (Machine Heart reported on the first competition last year). This competition aimed to design high-precision and energy-efficient object detection systems for terminal devices, … Read more

How to Compile and Install OpenCV and OpenCV Contrib from Source on ARM Development Boards

by
How to Compile and Install OpenCV and OpenCV Contrib from Source on ARM Development Boards

This article mainly introduces how to compile and install OpenCV and OpenCV contrib from source on ARM development boards. The source code of OpenCV mainly consists of the following two parts: github.com/opencv/opencv (Main repository) github.com/opencv/opencv_contrib (Includes some newer, less stable, experimental modules) Before compiling, you need to download the latest Release from GitHub (the current … Read more