黑马AI就业班2024人工智能python视频nlp机器视觉课程CV自然语言

黑马AI就业班2024人工智能python视频nlp机器视觉课程CV自然语言

黑马AI就业班2024人工智能python视频nlp机器视觉课程CV自然语言

课程目录：

├──阶段010-投满分项目
| ├──day01
| | ├──01-项目背景和数据集介绍_.wmv 91.56M
| | ├──02-数据集获取_.wmv 41.06M
| | ├──03-数据分布分析_.wmv 25.56M
| | ├──04-分词_.wmv 35.78M
| | ├──05-数据获取_.wmv 29.00M
| | ├──06-特征工程_.wmv 29.19M
| | ├──07-模型构建与训练_.wmv 19.19M
| | ├──08-fasttext数据处理_.wmv 39.62M
| | ├──09-fasttext数据集构建_.wmv 44.66M
| | ├──10-fasttext模型训练_.wmv 19.47M
| | └──11-优化1-自动化参数搜索_.wmv 30.66M
| ├──day02
| | ├──01-fasttext优化-分词_.wmv 20.88M
| | ├──02-模型训练_.wmv 13.97M
| | ├──03-模型部署_.wmv 73.25M
| | ├──04-bert数据信息_.wmv 54.44M
| | ├──05-bert代码结构构建_.wmv 12.75M
| | ├──06-bert数据获取_.wmv 174.50M
| | ├──07-数据迭代_.wmv 124.84M
| | └──08-时间差计算_.wmv 12.53M
| └──day03
| | ├──01-模型构建_.wmv 256.00kb
| | ├──02-模型训练与评估思想_.wmv 43.59M
| | ├──03-模型训练与评估实现_.wmv 98.62M
| | ├──04-实现2_.wmv 92.12M
| | ├──05-模型预测_.wmv 88.16M
| | ├──06-模型部署_.wmv 35.41M
| | └──07-模型量化_.wmv 40.50M
├──阶段011-红蜘蛛知识图谱项目
| ├──day01
| | ├──day01_01_面试总结1_.wmv 84.25M
| | ├──day01_02_面试总结2_.wmv 42.69M
| | ├──day01_03_红蜘蛛第1章_第1-2节_.wmv 75.06M
| | ├──day01_04_第3小节_.wmv 114.38M
| | ├──day01_05_第2章_2.2小节_.wmv 43.91M
| | ├──day01_06_BERT源代码分析_.wmv 61.56M
| | ├──day01_07_Albert模型解析_.wmv 58.59M
| | ├──day01_08_RoBerta模型解析_.wmv 18.47M
| | └──day01_09_MacBERT模型解析_.wmv 23.03M
| ├──day02
| | ├──day02_01_NER问题解析_.wmv 33.16M
| | ├──day02_02_IDCNN模型介绍_.wmv 29.66M
| | ├──day02_03_工具类函数实现_.wmv 61.69M
| | ├──day02_04_工具类代码实现_.wmv 46.56M
| | ├──day02_05_IDCNN模型代码实现_.wmv 28.66M
| | ├──day02_06_IDCNNCRF代码解析_.wmv 31.41M
| | ├──day02_07_IDCNNCRF代码实现_.wmv 48.94M
| | ├──day02_08_3.2小节FLAT模型介绍_.wmv 35.34M
| | └──day02_09_3.3小节规则派NER_.wmv 29.00M
| ├──day03
| | ├──day03_01_XLNet模型详解1_.wmv 24.94M
| | ├──day03_02_XLNet模型详解2_.wmv 37.25M
| | ├──day03_03_Electra模型详解_.wmv 47.34M
| | ├──day03_04_FinBERT模型详解_.wmv 21.06M
| | ├──day03_05_K-BERT模型详解_.wmv 49.28M
| | └──day03_06_KG-BERT模型详解_.wmv 20.03M
| ├──day04(1)
| | ├──AI.txt 4.42kb
| | ├──multi-head-selection模型详解1.mp4 390.24M
| | ├──multi-head-selection模型详解2.mp4 552.84M
| | ├──multi-head-selection模型详解3.mp4 370.92M
| | ├──事件抽取和schema解析.mp4 183.38M
| | └──训练模型讲解.mp4 223.15M
| ├──day05视频_课堂笔记(1)
| | ├──day05.txt 1.28kb
| | ├──答案查询子任务代码分析与实现.mp4 27.37M
| | ├──红蜘蛛上线实操.mp4 85.00M
| | ├──课程回顾复习.mp4 198.11M
| | ├──图数据库写入数据1.mp4 272.05M
| | ├──图数据库写入数据2.mp4 83.80M
| | ├──问题分类子任务代码分析与实现.mp4 241.08M
| | └──问题解析子任务代码分析与实现.mp4 100.31M
| ├──day06视频_课堂笔记
| | ├──9.1小节功能优化V1.1数据写入解析.pcwl 73.99M
| | ├──day06.txt 0.33kb
| | ├──GPT2优化版本V1.2详解.pcwl 236.06M
| | ├──概念图谱.pcwl 158.53M
| | ├──课程内容复习.pcwl 47.87M
| | ├──生成式模型优化V1.2版本详解.pcwl 97.69M
| | ├──意图识别模块优化升级.pcwl 43.77M
| | ├──意图识别模型优化.pcwl 152.74M
| | └──知识图谱众包.pcwl 82.11M
| ├──day07视频_课堂笔记
| | ├──1-意图识别优化_数据端.pcwl 141.64M
| | ├──2-意图识别优化_V2.0-part1.pcwl 69.56M
| | ├──3-意图识别优化_V2.0-part2.pcwl 140.52M
| | ├──4-ONNXRUNTIME加速实现.pcwl 222.02M
| | ├──5-经典知识补全.pcwl 66.51M
| | ├──6-错误知识发现与纠错介绍.pcwl 73.80M
| | ├──7-大厂商的一些预训练模型介绍.pcwl 114.25M
| | └──day07.txt 2.34