2 Star 6 Fork 0

谢颖婷/软件开发实训-CNN手写数字识别系统

加入 Gitee
与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)
免费加入
克隆/下载
贡献代码
同步代码
取消
提示: 由于 Git 不支持空文件夾,创建文件夹后会生成空的 .keep 文件
Loading...
README
MIT
MIT License Copyright (c) 2024 谢颖婷 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

简介

随着人工智能和机器学习技术的飞速发展,图像识别成为了其中一项关键技术。手写数字识别作为图像识别的子集,已经广泛应用于各个领域,如银行票据处理、教育考试评分等。本次软件开发实训的目标就是构建一个高效、准确的手写数字识别系统。手写数字识别系统采用深度学习算法,特别是卷积神经网络(CNN)进行模型的构建和训练。系统能够接收用户上传的手写数字图像,经过一系列的预处理、特征提取和分类识别,最终输出识别结果。 展开 收起
Python
MIT
取消

发行版

暂无发行版

贡献者

全部

近期动态

加载更多
不能加载更多了
马建仓 AI 助手
尝试更多
代码解读
代码找茬
代码优化
Python
1
https://gitee.com/xie-yingting7/software-development-training.git
git@gitee.com:xie-yingting7/software-development-training.git
xie-yingting7
software-development-training
软件开发实训-CNN手写数字识别系统
master

搜索帮助