CatsDogsClassificationApp:基于CNN的猫狗识别应用

上传者: 42131352 | 上传时间: 2022-06-07 13:02:49 | 文件大小: 277.33MB | 文件类型: ZIP
猫狗识别应用 本项目为Udacity机器学习课程毕业项目。 该项目关键难点在于: 开题报告以及论文的编写 图像原始数据的处理(异常检测、数据增强、图像尺寸标准化) 基于多个成熟CNN模型的模型融合 分类器的训练 对预测值的处理 目录结构说明 ├── app # 应用部署包 │ ├── model # 预训练CNN模型 │ ├── static # 静态资源文件 │ ├── templates # App网页入口 │ ├── cnn_model.py # 融合模型 │ └── webapp.py # 前端控制器 │ └── submission # 项目过程文档 如何运行 安装Anaconda,Tensorflow与Keras 具体安装方法请自行百度。 创建运行环境 $ conda create -n py36 python=3.6 切换运行环境

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