# AIExplorers

**Repository Path**: lihuayong123/aiexplorers

## Basic Information

- **Project Name**: AIExplorers
- **Description**: 从基础概念讲解到高级算法探讨，从理论研究到实际应用案例分享。紧跟AI领域的最新发展，包括但不限于机器学习、深度学习、自然语言处理等热门话题。
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2025-03-04
- **Last Updated**: 2025-05-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AIExplorers

## 介绍
从基础概念讲解到高级算法探讨，从理论研究到实际应用案例分享。紧跟AI领域的最新发展，包括但不限于机器学习、深度学习、自然语言处理等热门话题。

## 机器学习

[第一章：机器学习基本概念（附代码）](https://blog.csdn.net/lihuayong/article/details/145461755?fromshare=blogdetail&sharetype=blogdetail&sharerId=145461755&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第二章：KNN算法：从思想到实现（附代码）](https://blog.csdn.net/lihuayong/article/details/145463680?fromshare=blogdetail&sharetype=blogdetail&sharerId=145463680&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第三章：决策树算法：从思想到实现（附代码）](https://blog.csdn.net/lihuayong/article/details/145471138?fromshare=blogdetail&sharetype=blogdetail&sharerId=145471138&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第四章：机器学习简单案例：如何预测客户是否流失(附代码)](https://blog.csdn.net/lihuayong/article/details/145483192?fromshare=blogdetail&sharetype=blogdetail&sharerId=145483192&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第五章：理解数据标准化处理](https://blog.csdn.net/lihuayong/article/details/145488419?fromshare=blogdetail&sharetype=blogdetail&sharerId=145488419&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第六章：线性模型：从原理到实践](https://blog.csdn.net/lihuayong/article/details/145498192?fromshare=blogdetail&sharetype=blogdetail&sharerId=145498192&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第七章：KMeans 聚类算法：从理论到实践(附代码)](https://blog.csdn.net/lihuayong/article/details/145503497?fromshare=blogdetail&sharetype=blogdetail&sharerId=145503497&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第八章：搞懂线性回归与梯度下降原理(附代码)](https://blog.csdn.net/lihuayong/article/details/145504926?fromshare=blogdetail&sharetype=blogdetail&sharerId=145504926&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第九章：深度学习框架PyTorch](https://blog.csdn.net/lihuayong/article/details/145521274?fromshare=blogdetail&sharetype=blogdetail&sharerId=145521274&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十章：逻辑回归：从基础到实践(附代码)](https://blog.csdn.net/lihuayong/article/details/145524462?fromshare=blogdetail&sharetype=blogdetail&sharerId=145524462&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十一章：集成学习（一）：从理论到实战(附代码)](https://blog.csdn.net/lihuayong/article/details/145532684?fromshare=blogdetail&sharetype=blogdetail&sharerId=145532684&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十二章：集成学习（二）：从理论到实战(附代码)](https://blog.csdn.net/lihuayong/article/details/145539234?fromshare=blogdetail&sharetype=blogdetail&sharerId=145539234&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十三章：机器学习算法大比武(附代码)](https://blog.csdn.net/lihuayong/article/details/145558123?fromshare=blogdetail&sharetype=blogdetail&sharerId=145558123&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十四章：理解并解决欠拟合与过拟合](https://blog.csdn.net/lihuayong/article/details/145560632?fromshare=blogdetail&sharetype=blogdetail&sharerId=145560632&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十五章：机器学习案例：幸福感指数预测](https://blog.csdn.net/lihuayong/article/details/145581969?fromshare=blogdetail&sharetype=blogdetail&sharerId=145581969&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

## 计算机视觉
[第一章：计算机视觉中图像的基础认知](https://blog.csdn.net/lihuayong/article/details/145621434?fromshare=blogdetail&sharetype=blogdetail&sharerId=145621434&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第二章：计算机视觉：卷积神经网络(CNN)基本概念(一)](https://blog.csdn.net/lihuayong/article/details/145642672?fromshare=blogdetail&sharetype=blogdetail&sharerId=145642672&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第三章：计算机视觉：卷积神经网络(CNN)基本概念(二)](https://blog.csdn.net/lihuayong/article/details/145658826?fromshare=blogdetail&sharetype=blogdetail&sharerId=145658826&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第四章：搭建一个经典的LeNet5神经网络(附代码)](https://blog.csdn.net/lihuayong/article/details/145671336?fromshare=blogdetail&sharetype=blogdetail&sharerId=145671336&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第五章：计算机视觉：神经网络实战之手势识别(附代码)](https://blog.csdn.net/lihuayong/article/details/145692999?fromshare=blogdetail&sharetype=blogdetail&sharerId=145692999&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第六章：计算机视觉：目标检测从简单到容易(附代码)](https://blog.csdn.net/lihuayong/article/details/145730399?fromshare=blogdetail&sharetype=blogdetail&sharerId=145730399&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第七章：MTCNN 人脸检测技术揭秘：原理、实现与实战(附代码)](https://blog.csdn.net/lihuayong/article/details/145750522?fromshare=blogdetail&sharetype=blogdetail&sharerId=145750522&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第八章：探索YOLO技术：目标检测的高效解决方案](https://blog.csdn.net/lihuayong/article/details/145786573?fromshare=blogdetail&sharetype=blogdetail&sharerId=145786573&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第九章：计算机视觉：主流数据集整理](https://blog.csdn.net/lihuayong/article/details/145799941?fromshare=blogdetail&sharetype=blogdetail&sharerId=145799941&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十章：生成对抗网络(GAN)：从概念到代码实践(附代码)](https://blog.csdn.net/lihuayong/article/details/145805303?fromshare=blogdetail&sharetype=blogdetail&sharerId=145805303&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十一章：计算机视觉：经典数据格式(VOC、YOLO、COCO)解析与转换(附代码)](https://blog.csdn.net/lihuayong/article/details/145815267?fromshare=blogdetail&sharetype=blogdetail&sharerId=145815267&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十二章：计算机视觉：YOLOv11遥感图像目标检测(附代码)](https://blog.csdn.net/lihuayong/article/details/145817361?fromshare=blogdetail&sharetype=blogdetail&sharerId=145817361&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

## 自然语言处理
[第一章：人工智能之不同数据类型及其特点梳理](https://blog.csdn.net/lihuayong/article/details/145836204?fromshare=blogdetail&sharetype=blogdetail&sharerId=145836204&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第二章：自然语言处理(NLP)：文本向量化从文字到数字的原理](https://blog.csdn.net/lihuayong/article/details/145839784?fromshare=blogdetail&sharetype=blogdetail&sharerId=145839784&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第三章：循环神经网络RNN：理解 RNN的工作机制与应用场景(附代码)](https://blog.csdn.net/lihuayong/article/details/145891316?fromshare=blogdetail&sharetype=blogdetail&sharerId=145891316&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第四章：循环神经网络RNN、LSTM以及GRU 对比(附代码)](https://blog.csdn.net/lihuayong/article/details/145937943?fromshare=blogdetail&sharetype=blogdetail&sharerId=145937943&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第五章：理解Seq2Seq的工作机制与应用场景中英互译(附代码)](https://blog.csdn.net/lihuayong/article/details/145958479?fromshare=blogdetail&sharetype=blogdetail&sharerId=145958479&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第六章：深度学习架构Seq2Seq-添加并理解注意力机制(一)](https://blog.csdn.net/lihuayong/article/details/145999640?fromshare=blogdetail&sharetype=blogdetail&sharerId=145999640&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第七章：深度学习架构Seq2Seq-添加并理解注意力机制(二)](https://blog.csdn.net/lihuayong/article/details/146009405?fromshare=blogdetail&sharetype=blogdetail&sharerId=146009405&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第八章：深度学习模型Transformer初步认识整体架构](https://blog.csdn.net/lihuayong/article/details/146025345?fromshare=blogdetail&sharetype=blogdetail&sharerId=146025345&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第九章：深度学习模型Transformer核心组件—自注意力机制](https://blog.csdn.net/lihuayong/article/details/146083047?fromshare=blogdetail&sharetype=blogdetail&sharerId=146083047&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十章：理解梯度下降、链式法则、梯度消失/爆炸](https://blog.csdn.net/lihuayong/article/details/146122347?fromshare=blogdetail&sharetype=blogdetail&sharerId=146122347&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十一章：Transformer核心组件—残差连接与层归一化](https://blog.csdn.net/lihuayong/article/details/146110643?fromshare=blogdetail&sharetype=blogdetail&sharerId=146110643&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十二章：Transformer核心组件—位置编码](https://blog.csdn.net/lihuayong/article/details/146129098?fromshare=blogdetail&sharetype=blogdetail&sharerId=146129098&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十三章：Transformer核心组件—前馈网络FFN](https://blog.csdn.net/lihuayong/article/details/146140468?fromshare=blogdetail&sharetype=blogdetail&sharerId=146140468&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十四章：深度学习模型Transformer 手写核心架构一](https://blog.csdn.net/lihuayong/article/details/146191433?fromshare=blogdetail&sharetype=blogdetail&sharerId=146191433&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)

[第十五章：深度学习模型Transformer 手写核心架构二](https://blog.csdn.net/lihuayong/article/details/146201946?fromshare=blogdetail&sharetype=blogdetail&sharerId=146201946&sharerefer=PC&sharesource=lihuayong&sharefrom=from_link)