(并行程序设计)基于KNN算法的并行化MNIST手写体数字识别神经网络(C语言+CUDA/C).rar

上传者: 44134712 | 上传时间: 2021-07-16 19:02:26 | 文件大小: 16.48MB | 文件类型: RAR
本次项目的整体介绍包括以下几点: 编译器软件:VS2019 使用到的算法:KNN数据分类算法;并行化C语言;并行化CUDA C/C++ 数据集:MNIST数据集 主要语言:C语言 整体介绍:MNIST数据集是手写数字的图像和标签数据集;改代码本事是通过KNN数据分类算法,将MNIST手写数据集进行分类,并得出分类的准确率和分类完全正确的数据个数,由于该算法本身运行效率很差,所有引用并行程序设计的思想,将该程序通过多线程来进行运行,大大提高运行速率。

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