实验科学与技术2025，Vol.23Issue(2)：14-22,9.DOI:10.12179/1672-4550.20240537
基于华为昇腾Atlas 200DK的黑白图片上色实验
Black-and-White Image Coloring Experiment Based on Huawei's Ascend Atlas 200DK
摘要
Abstract
With the development of artificial intelligence(AI)technologies,the proportion of related courses and technological applications in university curricula has been increasing,leading to a surge in students'demand for AI experimentation.However,the current AI experimental systems are not well-established,with most experiments being software-based and lacking hardware platforms and projects,which results in a disconnect from real-world engineering applications and industry needs.This experimental instruction integrates the CDIO(conceive,design,implement,operate)model,and to address issues such as slow inference speeds and long processing times in deep learning networks during experiments,an AI experiment based on the Huawei Ascend Atlas 200DK hardware platform is proposed,which utilizes deep learning networks to perform colorization of grayscale images.Through this experiment,students can learn about the principles of AI,the structure and inference processes of neural networks,set up software development environments,configure hardware systems,and deploy neural networks that integrate both software and hardware.The experiment also involves the completion of functional and performance testing.This hands-on experience helps students understand the operational mechanisms of neural networks from a practical application perspective,master their application methods on actual hardware platforms,and thereby enhance their overall engineering and practical skills in both software and hardware.关键词
人工智能/Atlas 200DK/卷积神经网络/图像上色/产教融合Key words
artificial intelligence/Atlas 200DK/convolutional neural networks/image colorization/industry-education integration分类
社会科学引用本文复制引用
武畅,夏玉林,杨小漫,王宏..基于华为昇腾Atlas 200DK的黑白图片上色实验[J].实验科学与技术,2025,23(2):14-22,9.基金项目
教育部-华为"智能基座"产教融合协同育人项目 （）
电子科技大学研究生教研教改重点项目(JYJG2021401) （JYJG2021401）
电子科技大学本科实验教学和教学实验室建设研究项目(BK-SYJY-202423) （BK-SYJY-202423）
人工智能技术赋能本科教学教改项目(2024AIXM007). （2024AIXM007）
