# TensorFlow.NET-Tutorials

**Repository Path**: tengdays/TensorFlow.NET-Tutorials

## Basic Information

- **Project Name**: TensorFlow.NET-Tutorials
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-13
- **Last Updated**: 2021-01-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# [C# TensorFlow 2 入门教程](<https://github.com/SciSharp/TensorFlow.NET-Tutorials>)

# 一、机器学习基础

# 二、TensorFlow.NET API与入门手册

## [1. TensorFlow.NET介绍](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/二、TensorFlow.NET API-1. TensorFlow.NET介绍.md>)

## [2. 数据类型与张量详解](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E4%BA%8C%E3%80%81TensorFlow.NET%20API-2.%20%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B%E4%B8%8E%E5%BC%A0%E9%87%8F%E8%AF%A6%E8%A7%A3.md>)

## [3. Eager Mode](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/二、TensorFlow.NET API-3. Eager Mode.md>)

## [4. 自动求导机制](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/二、TensorFlow.NET API-4. 自动求导机制.md>)

## [5. Linear Regression](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/二、TensorFlow.NET API-5. Linear Regression.md>)

## [6. MNIST手写字符分类 Logistic Regression](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E4%BA%8C%E3%80%81TensorFlow.NET%20API-6.%20MNIST%E6%89%8B%E5%86%99%E5%AD%97%E7%AC%A6%E5%88%86%E7%B1%BB%20Logistic%20Regression.md>)

## [7. tf.data 数据集构建与预处理](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E4%BA%8C%E3%80%81TensorFlow.NET%20API-7.%20tf.data%20%E6%95%B0%E6%8D%AE%E9%9B%86%E6%9E%84%E5%BB%BA%E4%B8%8E%E9%A2%84%E5%A4%84%E7%90%86.md>)

## [8. 深度神经网络(DNN)入门](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E4%BA%8C%E3%80%81TensorFlow.NET%20API-8.%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C(DNN)%E5%85%A5%E9%97%A8.md>)

## [9. AutoGraph机制](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E4%BA%8C%E3%80%81TensorFlow.NET%20API-9.%20AutoGraph%E6%9C%BA%E5%88%B6.md>)

## [10. Keras API](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E4%BA%8C%E3%80%81TensorFlow.NET%20API-10.%20Keras%20API.md>)

## 11. Tensorboard和Summary类

## 12. CheckPoint操作

## 13. 神经网络相关

# 三、工业应用与案例

## [1. TensorFlow.NET 初探](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/三、工业应用与案例-1. TensorFlow.NET 初探.md>)

## 2. TensorFlow.NET 图像分类

## 3. TensorFlow.NET 目标检测

## 4. TensorFlow.NET 图像处理

## 5. 工厂大数据分析

## 6. 自然语言处理应用

## 7. 对抗网络实战



# 附录

## [1. TensorFlow.NET 在工业应用中的优势](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E9%99%84%E5%BD%95%EF%BC%9A1.%20TensorFlow.NET%20%E5%9C%A8%E5%B7%A5%E4%B8%9A%E5%BA%94%E7%94%A8%E4%B8%AD%E7%9A%84%E4%BC%98%E5%8A%BF.md>)

## [2. 在C#下使用TensorFlow.NET训练自己的数据集](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/%E9%99%84%E5%BD%95%EF%BC%9A2.%20%E5%9C%A8C%23%E4%B8%8B%E4%BD%BF%E7%94%A8TensorFlow.NET%E8%AE%AD%E7%BB%83%E8%87%AA%E5%B7%B1%E7%9A%84%E6%95%B0%E6%8D%AE%E9%9B%86.md>)





# [Contact](<https://github.com/SciSharp/TensorFlow.NET-Tutorials/blob/master/Contact.md>)

## GitHub

**TensorFlow.NET：** https://github.com/SciSharp/TensorFlow.NET

**SciSharp-Stack-Examples：** https://github.com/SciSharp/SciSharp-Stack-Examples

**TensorFlow.NET-Tutorials：** https://github.com/SciSharp/TensorFlow.NET-Tutorials



## Tencent TIM group

![image-20200324214204625](README.assets/image-20200324214204625.png)