Code Monkey home page Code Monkey logo

useml.net's Introduction

UseML.NET

该项目将帮助您简单理解如何使用ML.NET进行图像分类识别

在打开解决方案之前,请确保您有以下工具

首先,确保已安装.NET Core 2.1或更高版本。ML.NET也适用于.NET Framework 4.6.1或更高版本,但建议使用4.7.2或更高版本。

1.Netron 作用:用于帮助打开.pb神经结构体,寻找输入输出参数 https://github.com/lutzroeder/netron

2.Visual Studio 2017或更高版本

当您已完成以上操作,您可以下载该项目然后尝试编译 请到Release页面下载本项目

1.png中包含项目结构图 TFModelScorer.cs中的InceptionSettings结构体的输入/出 张量 名字对应着神经网络模型结构文件内的入口和出口,用Netron打开xxx.pb即可查看神经结构图

因为我经常爱搞类线性执行程序所以里面的内容光看注释应该也能看懂许多了.当然翻译肯定不规范. 有什么不懂的自己看看https://docs.microsoft.com/zh-cn/dotnet/machine-learning/

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.