# AI-DeepLearning

**Repository Path**: phyticslover/ai-deep-learning

## Basic Information

- **Project Name**: AI-DeepLearning
- **Description**: AI-DeepLearning
- **Primary Language**: Python
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-16
- **Last Updated**: 2024-11-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: 深度学习

## README

# AI-DeepLearning

#### 简介
深度学习实践
以自然语言处理为主

##开学，没什么时间继续，该仓库暂停更新

#### 目录/文件介绍

char.txt为最全中英文符号集,共88316

base_operate/utils/     实用的函数与类

#### 编码环境

1. VS Code
2. Python3
        (1) numpy
        (2) pytorch
        (3) matplotlib

#### 项目实战

1.  情感分析 sentiment_analysis

        代码:/sentiment_analysis/

        数据集:Imdb

        数据集下载:http://ai.stanford.edu/~amaas/data/sentiment/

        参考:https://blog.csdn.net/m0_53328738/article/details/128367345

2.  语言识别 speech_recognition (未开始)

        数据集:THCHS-30

        数据集下载:https://openslr.org/18/
                或者https://aistudio.baidu.com/datasetdetail/38012
        
        参考:https://blog.csdn.net/weixin_45272908/article/details/115641702

3.  中文拼写纠正 spelling_correction

        代码:/spelling_correction/

        数据集:MD-CSC多领域中文拼写纠错数据集

        数据集下载:https://www.luge.ai/#/luge/dataDetail?id=67

4.  小型代码模型 small_llm

        代码:/small_llm/

        数据集:
        

#### 模型实战

1.  word2vec(简易版-未完成)

        代码:/word2vec/

2.  bert

        代码:/bert/

        参考:https://blog.csdn.net/qq_37236745/article/details/108845470


#### 数据集使用声明

1. 
        @InProceedings{maas-EtAl:2011:ACL-HLT2011,
        author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},
        title     = {Learning Word Vectors for Sentiment Analysis},
        booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
        month     = {June},
        year      = {2011},
        address   = {Portland, Oregon, USA},
        publisher = {Association for Computational Linguistics},
        pages     = {142--150},
        url       = {http://www.aclweb.org/anthology/P11-1015}
        }

2. 
        @misc{THCHS30_2015,
        title={THCHS-30 : A Free Chinese Speech Corpus},
        author={Dong Wang, Xuewei Zhang, Zhiyong Zhang},
        year={2015},
        url={http://arxiv.org/abs/1512.01882}
        }