黑马程序员《Python+人工智能开发教程 V5.0 (AI版) 》
Python人工智能实战教程
编辑点评
深入浅出，结合实际案例，助力Python初学者快速掌握AI技能。
⭐ 编辑推荐
本教程涵盖Python数据分析、机器学习、深度学习等AI领域核心知识，通过案例教学，让你轻松上手。
课程亮点
• Python数据分析实战
• 机器学习算法解析
• 深度学习应用案例
课程目录
📁 03-数据处理和统计分析-V5.X版-10天-AI版
📁 day07
往期资料.png [493.5 KB]
16.数据组合-merge-多对一【公众号：秘知圈】.mp4 [41.6 MB]
08.DataFrame-常用排序方法【公众号：秘知圈】.mp4 [38.9 MB]
18.缺失值-初识【公众号：秘知圈】.mp4 [22.3 MB]
10.链家案例-6~8需求【公众号：秘知圈】.mp4 [49.7 MB]
21.缺失值处理-删除【公众号：秘知圈】.mp4 [18.1 MB]
11.链家案例-9~12需求.mp4 [39.8 MB]
20.缺失值-查看.mp4 [33.8 MB]
15.数据组合-merge-一对一.mp4 [73.7 MB]
07.DataFrame-常用的统计值的方法.mp4 [15.4 MB]
17.数组聚合-join方式(了解).mp4 [45.1 MB]
12.上午内容回顾.mp4 [14.8 MB]
19.缺失值-加载.mp4 [17.5 MB]
13.数据组合-concat()函数.mp4 [56.6 MB]
02.今日内容大纲介绍.mp4 [5.7 MB]
04.DataFrame-加载指定行列的数据.mp4 [29.5 MB]
03.DataFrame-加载行, 列数据.mp4 [58.0 MB]
14.数据组合-append()函数.mp4 [38.3 MB]
05.DataFrame-聚合统计.mp4 [38.5 MB]
23.缺失值处理-线性填充.mp4 [43.3 MB]
09.链家案例-前5个需求.mp4 [83.9 MB]
01.昨日内容回顾.mp4 [11.9 MB]
22.缺失值处理-非线性填充.mp4 [14.7 MB]
06.DataFrame-基本绘图.mp4 [8.2 MB]
📁 day05
学习资料领取说明.png [493.5 KB]
11.PyCharm集成Anaconda-jupyter Notebook【公众号：秘知圈】.mp4 [57.8 MB]
07.Anaconda-沙箱相关操作【公众号：秘知圈】.mp4 [30.2 MB]
18.创建ndarray数组logspace等比数列和linspace等差数列.mp4 [21.2 MB]
19.ndarray内置函数-基本函数.mp4 [37.5 MB]
15.创建ndarray数组arangematrix.mp4 [23.4 MB]
06.Anaconda-如何安装第三方资源库.mp4 [23.5 MB]
09.Jupyter Notebook-常用快捷键.mp4 [24.4 MB]
12.上午内容回顾.mp4 [53.0 MB]
01.昨日反馈处理.mp4 [15.9 MB]
22.ndarray运算.mp4 [42.4 MB]
20.ndarray内置函数-统计函数.mp4 [23.9 MB]
03.Python数据分析的优势.mp4 [13.0 MB]
13.Numpy-常用属性.mp4 [43.0 MB]
21.ndarray内置函数比较-排序-去重.mp4 [34.5 MB]
05.Anaconda-环境搭建.mp4 [31.2 MB]
08.Jupyter Notebook-入门.mp4 [45.0 MB]
10.扩展Jupyter lab演示.mp4 [15.3 MB]
04.Python-常见的开源库.mp4 [23.2 MB]
02.今日内容大纲介绍.mp4 [21.9 MB]
17.创建ndarray数组astype函数.mp4 [11.8 MB]
14.创建ndarray数组zerosonesempty.mp4 [50.2 MB]
16.创建ndarray数组randrandintuniform.mp4 [14.3 MB]
📁 day01
历史合集.png [493.5 KB]
05.虚拟化软件介绍【公众号：秘知圈】.mp4 [36.4 MB]
03.计算机介绍【公众号：秘知圈】.mp4 [47.8 MB]
10.FinalShell-连接Linux虚拟机【公众号：秘知圈】.mp4 [59.3 MB]
17.Linux基础命令-文件操作(下)【公众号：秘知圈】.mp4 [30.6 MB]
04.Linux系统介绍【公众号：秘知圈】.mp4 [36.7 MB]
01.阶段大纲介绍【公众号：秘知圈】.mp4 [10.0 MB]
07.手动安装虚拟机(了解即可)【公众号：秘知圈】.mp4 [47.0 MB]
16.Linux基础命令-文件操作(上)【公众号：秘知圈】.mp4 [33.2 MB]
14.Linux基础命令-cd和pwd【公众号：秘知圈】.mp4 [19.8 MB]
21.Linux基础命令-vi命令入门【公众号：秘知圈】.mp4 [14.9 MB]
08.挂载虚拟机到Vmware软件(掌握).mp4 [16.5 MB]
11.Linux-命令格式介绍.mp4 [9.8 MB]
13.Linux基础命令-ls命令.mp4 [23.1 MB]
23.扩展man命令 和 help选项.mp4 [12.0 MB]
12.上午内容回顾.mp4 [19.4 MB]
06.Vmware-软件安装.mp4 [21.4 MB]
02.今日内容大纲介绍.mp4 [15.1 MB]
19.Linux基础命令-grep和管道命令.mp4 [25.9 MB]
18.Linux基础命令-查找命令.mp4 [36.6 MB]
11.Linux目录-介绍.mp4 [38.9 MB]
09.Linux-快照.mp4 [14.2 MB]
20.Linux基础命令-echo, 重定向, tail命令.mp4 [29.7 MB]
15.Linux基础命令-创建目录.mp4 [9.9 MB]
22.Linux基础命令-vi常用快捷键.mp4 [35.7 MB]
📁 day02
📁 扩展
02.Shell脚本-运行方式【公众号：秘知圈】.mp4 [16.3 MB]
03.MySQL环境搭建.mp4 [38.0 MB]
01.Shell入门.mp4 [11.2 MB]
新手必看.png [493.5 KB]
19.环境变量相关【公众号：秘知圈】.mp4 [29.6 MB]
16.网络传输-下载和发起网络请求【公众号：秘知圈】.mp4 [43.5 MB]
14.IP地址-介绍【公众号：秘知圈】.mp4 [11.2 MB]
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [3.6 MB]
17.网络相关-端口号相关操作【公众号：秘知圈】.mp4 [12.1 MB]
08.Linux-常用快捷键【公众号：秘知圈】.mp4 [11.6 MB]
06.权限管理命令-chmod.mp4 [29.8 MB]
18.进程相关.mp4 [13.7 MB]
09.Linux-yum方式安装软件.mp4 [30.8 MB]
10.Linux-服务管理命令-systemctl.mp4 [18.1 MB]
03.root用户-初识.mp4 [38.0 MB]
22.压缩和解压缩-zip方式.mp4 [10.1 MB]
21.压缩和解压缩-tarball 归档方式.mp4 [31.7 MB]
05.权限查看相关.mp4 [28.8 MB]
13.上午内容回顾.mp4 [8.1 MB]
01.昨日反馈处理.mp4 [27.1 MB]
04.用户和用户组相关操作.mp4 [38.4 MB]
12.Linux-硬链接.mp4 [11.8 MB]
15.网络相关-配置域名映射.mp4 [34.1 MB]
20.Linux-上传和下载.mp4 [20.6 MB]
11.Linux-软连接.mp4 [20.7 MB]
07.权限管理命令-chown.mp4 [14.7 MB]
📁 day04
07.单表查询-分页查询【公众号：秘知圈】.mp4 [55.5 MB]
08.上午内容回顾【公众号：秘知圈】.mp4 [21.5 MB]
05.单表查询-聚合查询【公众号：秘知圈】.mp4 [49.4 MB]
02.单表查询-简单查询.mp4 [58.7 MB]
04.单表查询-排序查询.mp4 [13.6 MB]
16.窗口函数入门.mp4 [59.6 MB]
06.单表查询-分组查询.mp4 [69.5 MB]
13.多表查询-连接查询.mp4 [27.5 MB]
01.昨日内容回顾及反馈处理.mp4 [16.3 MB]
12.多表查询-交叉查询.mp4 [21.6 MB]
10.扩展多表建表-多对多.mp4 [37.9 MB]
14.多表查询-子查询.mp4 [33.5 MB]
09.多表建表-一对多.mp4 [68.2 MB]
11.扩展多表建表-一对一.mp4 [7.4 MB]
15.多表查询-自关联查询.mp4 [72.9 MB]
03.单表查询-条件查询.mp4 [46.2 MB]
📁 day06
11.Series-计算【公众号：秘知圈】.mp4 [28.9 MB]
16.DataFrame-计算【公众号：秘知圈】.mp4 [20.5 MB]
09.Series案例-电影数据【公众号：秘知圈】.mp4 [48.8 MB]
07.Series对象常用属性【公众号：秘知圈】.mp4 [68.6 MB]
08.Series对象常用函数【公众号：秘知圈】.mp4 [40.1 MB]
17.DataFrame-索引操作-入门【公众号：秘知圈】.mp4 [48.9 MB]
10.Series-结合布尔值操作【公众号：秘知圈】.mp4 [40.6 MB]
05.扩展通过元组字典创建Series对象.mp4 [5.8 MB]
18.DataFrame-修改行索引和列名.mp4 [52.6 MB]
01.昨日反馈处理.mp4 [17.3 MB]
12.上午内容回顾.mp4 [27.9 MB]
15.DataFrame-布尔索引.mp4 [13.9 MB]
14.DataFrame-常用函数介绍.mp4 [38.1 MB]
13.DataFrame-常用属性介绍.mp4 [16.6 MB]
03.Panda-数据结构介绍.mp4 [28.0 MB]
06.创建DataFrame对象.mp4 [36.3 MB]
20.DataFrame-导入和导出数据.mp4 [89.4 MB]
19.DataFrame-添加-删除-插入列.mp4 [47.4 MB]
04.通过列表创建Series对象.mp4 [38.1 MB]
02.今日内容大纲介绍.mp4 [5.9 MB]
📁 day09
05.MatPlotlib-多变量-散点图【公众号：秘知圈】.mp4 [40.6 MB]
02.anscombe数据集可视化【公众号：秘知圈】.mp4 [52.8 MB]
14.Seaborn-双变量-箱线图【公众号：秘知圈】.mp4 [35.7 MB]
16.Seaborn-样式介绍.mp4 [20.8 MB]
12.上午内容回顾.mp4 [8.3 MB]
08.Seaborn-单变量-直方图.mp4 [30.8 MB]
04.MatPlotlib-双变量-散方图.mp4 [14.6 MB]
10.Seaborn-单变量-计数图.mp4 [8.9 MB]
09.Seaborn-单变量-密度图.mp4 [14.8 MB]
01.今日内容大纲介绍.mp4 [40.8 MB]
06.Pandas-单变量-柱状图(条形图).mp4 [34.0 MB]
03.MatPlotlib-单变量-直方图.mp4 [28.5 MB]
15.Seaborn-双变量-小提琴图.mp4 [23.6 MB]
07.Pandas-单变量-折线图-面积图-饼图.mp4 [26.2 MB]
11.Seaborn-双变量-散点图.mp4 [57.6 MB]
13.Seaborn-双变量-2D密度图.mp4 [16.7 MB]
📁 day03
07.MySQL-安装时可能遇到的问题【公众号：秘知圈】.mp4 [23.1 MB]
01.昨日内容回顾【公众号：秘知圈】.mp4 [8.2 MB]
17.DDL-操作字段.mp4 [31.1 MB]
18.DML-添加表数据.mp4 [38.5 MB]
02.今日内容大纲介绍.mp4 [5.2 MB]
16.DDL-操作数据表.mp4 [29.5 MB]
04.数据库分类.mp4 [22.2 MB]
12.SQL语句-分类.mp4 [19.9 MB]
19.DML-修改和删除表数据.mp4 [42.8 MB]
08.MySQL-登陆和登出.mp4 [31.7 MB]
03.数据库简介.mp4 [16.0 MB]
09.DataGrip连接MySQL.mp4 [45.6 MB]
10.扩展PyCharm连接MySQL.mp4 [11.1 MB]
05.MySQL版本介绍.mp4 [29.3 MB]
13.SQL语句-通用语法和常用数据类型.mp4 [37.6 MB]
15.DDL-操作数据库.mp4 [42.0 MB]
20.delete from 和 truncate table区别.mp4 [30.1 MB]
21.扩展如何备份数据表.mp4 [20.5 MB]
11.扩展DataGrip基本设置.mp4 [11.1 MB]
14.上午内容回顾.mp4 [30.4 MB]
22.约束详解.mp4 [40.1 MB]
06.MySQL-安装.mp4 [38.8 MB]
📁 day08
05.apply函数案例-计算某列的缺失值占比【公众号：秘知圈】.mp4 [37.6 MB]
24.Matplotlib-状态接口方式绘图【公众号：秘知圈】.mp4 [25.2 MB]
12.上午内容回顾【公众号：秘知圈】.mp4 [19.8 MB]
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [9.6 MB]
19.Pandas中的日期类型介绍【公众号：秘知圈】.mp4 [27.5 MB]
09.分组转换演示【公众号：秘知圈】.mp4 [70.8 MB]
03.apply函数-操作Series对象【公众号：秘知圈】.mp4 [26.2 MB]
22.获取连续的日期【公众号：秘知圈】.mp4 [22.8 MB]
20.提取日期的各个部分.mp4 [25.4 MB]
04.apply函数-操作df对象.mp4 [30.5 MB]
07.apply函数-结合lambda表达式使用.mp4 [15.1 MB]
11.GroupBy分组对象介绍.mp4 [26.4 MB]
18.回顾python中的日期类型.mp4 [10.3 MB]
16.零售会员数据分析-计算月存量.mp4 [27.9 MB]
13.零售会员数据分析-需求介绍.mp4 [30.4 MB]
14.零售会员数据分析-月增量实现及可视化.mp4 [34.3 MB]
23.Python可视化组件介绍.mp4 [11.2 MB]
17.零售会员数据分析-会员增量等级分布.mp4 [57.7 MB]
08.分组聚合演示.mp4 [34.6 MB]
01.昨日反馈处理及内容回顾.mp4 [24.7 MB]
10.分组过滤演示.mp4 [9.9 MB]
21.日期运算.mp4 [52.3 MB]
15.零售会员数据分析-透视表方式计算月增量.mp4 [9.6 MB]
25.Matplotlib-面向对象方式绘图.mp4 [10.4 MB]
06.向量化函数介绍.mp4 [21.4 MB]
📁 day10
12.RFM案例-绘制3D柱状图【公众号：秘知圈】.mp4 [35.6 MB]
02.会员价值度预估模型介绍【公众号：秘知圈】.mp4 [32.0 MB]
17.总结LinuxMySQL.mp4 [33.4 MB]
10.上午内容回顾.mp4 [38.2 MB]
18.总结NumpyPandas.mp4 [62.0 MB]
09.RFM案例-计算RFM各项指标值.mp4 [95.9 MB]
03.RFM案例-基本实现过程介绍.mp4 [22.7 MB]
16.扩展迭代器.mp4 [49.6 MB]
14.RFM案例-总结及细节.mp4 [25.3 MB]
13.RFM案例-导出结果到本地文件或者数据库.mp4 [46.3 MB]
05.RFM案例-数据源介绍.mp4 [11.0 MB]
15.RFM案例-面向对象版.mp4 [90.9 MB]
08.RFM案例-汇总数据.mp4 [20.1 MB]
07.RFM案例-数据预处理.mp4 [65.5 MB]
01.昨日内容回顾.mp4 [37.5 MB]
04.RFM案例-背景介绍.mp4 [11.5 MB]
11.RFM案例-计算最终结果.mp4 [16.8 MB]
06.RFM案例-加载数据及查看格式.mp4 [51.4 MB]
📁 08_知识图谱-V5.X-10天-AI版
📁 day07
学习前请先查看.png [493.5 KB]
07-extractobjandrel【公众号：秘知圈】.mp4 [30.1 MB]
08-train.mp4 [64.7 MB]
05-loadmodel.mp4 [68.7 MB]
04-loss.mp4 [35.7 MB]
02-getsubs+getobjsforspecificsub.mp4 [52.5 MB]
09-traindebug.mp4 [179.1 MB]
10-predict.mp4 [87.7 MB]
03-computeloss.mp4 [29.4 MB]
01-反馈+总结.mp4 [18.1 MB]
06-extractsub.mp4 [27.4 MB]
📁 day02
05-transfer方法【公众号：秘知圈】.mp4 [66.5 MB]
07-总结.mp4 [28.4 MB]
11-总结.mp4 [30.1 MB]
02-代码架构.mp4 [71.8 MB]
06-readlabeltext.mp4 [37.7 MB]
01-CRF损失函数推导.mp4 [134.7 MB]
10-getdata.mp4 [24.3 MB]
09-dataset-collatefn.mp4 [70.9 MB]
08-config.mp4 [37.3 MB]
03-项目架构.mp4 [30.9 MB]
04-加载数据集.mp4 [34.2 MB]
📁 day06
10-模型init【公众号：秘知圈】.mp4 [35.8 MB]
08-dataset【公众号：秘知圈】.mp4 [23.5 MB]
07-collatefn.mp4 [89.0 MB]
09-getdata+debug.mp4 [88.2 MB]
02-findheadindex.mp4 [12.9 MB]
06-填充工作.mp4 [89.2 MB]
04-label举例解释.mp4 [13.7 MB]
01-每日反馈+总结.mp4 [43.4 MB]
03-label初始化.mp4 [36.0 MB]
05-解析innertriples.mp4 [64.8 MB]
📁 day01
06-doccano使用2【公众号：秘知圈】.mp4 [14.3 MB]
07-总结【公众号：秘知圈】.mp4 [20.3 MB]
02-知识图谱技术概况【公众号：秘知圈】.mp4 [95.7 MB]
11-lstm+crf架构.mp4 [146.2 MB]
08-基于规则.mp4 [60.5 MB]
10-基于规则案例.mp4 [74.1 MB]
04-doccano安装.mp4 [34.4 MB]
01-什么是知识图谱.mp4 [59.3 MB]
05-doccano使用1.mp4 [38.3 MB]
09-ner基本知识.mp4 [55.2 MB]
03-三个工具.mp4 [34.6 MB]
📁 day04
02-关系抽取基本知识【公众号：秘知圈】.mp4 [58.8 MB]
11-getloader【公众号：秘知圈】.mp4 [60.9 MB]
07-pospadding【公众号：秘知圈】.mp4 [15.1 MB]
08-getdata.mp4 [60.6 MB]
09-dataset.mp4 [18.0 MB]
05-数据预处理1.mp4 [59.3 MB]
03-基于规则实现RE.mp4 [64.7 MB]
10-collatefn.mp4 [35.3 MB]
04-config.mp4 [125.6 MB]
06-sentpadding.mp4 [12.3 MB]
01-每日反馈+拓展.mp4 [104.9 MB]
📁 day03
01-每日反馈+总结【公众号：秘知圈】.mp4 [64.2 MB]
09-部署上线【公众号：秘知圈】.mp4 [22.3 MB]
08-extractents.mp4 [65.4 MB]
04-model2train.mp4 [87.0 MB]
12-train-debug.mp4 [39.8 MB]
11-dataloader-dubug.mp4 [47.7 MB]
02-lstm搭建.mp4 [57.5 MB]
10-TransferData-debug.mp4 [64.4 MB]
06-model2dev.mp4 [106.6 MB]
07-model2text.mp4 [67.4 MB]
03-lstm-crf搭建.mp4 [91.6 MB]
📁 day09
01-模型debug【公众号：秘知圈】.mp4 [175.7 MB]
📁 day08
09-检索neo4j【公众号：秘知圈】.mp4 [58.6 MB]
02-cypher使用2【公众号：秘知圈】.mp4 [15.8 MB]
07-readydata【公众号：秘知圈】.mp4 [31.5 MB]
06-getspotype分析.mp4 [70.0 MB]
04-创建节点关系.mp4 [15.3 MB]
03-cypher使用3.mp4 [41.8 MB]
01-neo4切换测试库.mp4 [59.9 MB]
05-查询节点关系.mp4 [60.1 MB]
08-构建neo4j.mp4 [89.0 MB]
📁 day05
05-train实现【公众号：秘知圈】.mp4 [74.5 MB]
08-casrel架构【公众号：秘知圈】.mp4 [46.1 MB]
04-forward实现【公众号：秘知圈】.mp4 [34.1 MB]
06-model2test实现.mp4 [30.4 MB]
10-config.mp4 [123.7 MB]
07-predict讲解.mp4 [38.7 MB]
03-forward的shape变化.mp4 [27.4 MB]
02-模型init.mp4 [63.0 MB]
01-每日反馈+总结.mp4 [70.5 MB]
09-casrel模型细节.mp4 [40.6 MB]
📁 02_Python进阶-V5.X版-9天-AI版
📁 day03-学生管理系统-深拷贝浅拷贝
学习资料领取说明.png [493.5 KB]
12.学生管理系统文件-查询单个学生信息【公众号：秘知圈】.mp4 [10.5 MB]
09.学生管理系统文件-查看所有学生信息【公众号：秘知圈】.mp4 [17.4 MB]
03.学生类-代码实现【公众号：秘知圈】.mp4 [28.3 MB]
20.深浅拷贝-浅拷贝【公众号：秘知圈】.mp4 [40.9 MB]
19.深浅拷贝-普通赋值.mp4 [44.4 MB]
04.学生管理系统文件-搭建提示界面.mp4 [22.3 MB]
01.昨日反馈和作业处理.mp4 [73.9 MB]
05.学生管理系统文件-搭建基本框架.mp4 [25.2 MB]
21.深浅拷贝-深拷贝.mp4 [52.2 MB]
16.学生管理系统文件-保存学生信息.mp4 [24.6 MB]
13.上午内容回顾.mp4 [13.9 MB]
06.学生管理系统文件-业务逻辑代码实现.mp4 [45.4 MB]
07.main模块-搭建程序的主入口.mp4 [18.2 MB]
02.面向对象版-学生管理系统-需求分析.mp4 [33.9 MB]
17.学生管理系统文件-加载学生信息.mp4 [60.2 MB]
10.学生管理系统文件-修改学生信息.mp4 [38.3 MB]
18.扩展-把showview()函数定义成静态方法.mp4 [21.5 MB]
08.学生管理系统文件-添加学生.mp4 [27.1 MB]
14.扩展dict属性.mp4 [26.7 MB]
22.今日内容总结.mp4 [23.7 MB]
15.扩展withopen语法.mp4 [12.7 MB]
11.学生管理系统文件-删除学生信息.mp4 [17.5 MB]
📁 day09_算法和数据结构
课程相关资源.png [493.5 KB]
10.快速排序-图解【公众号：秘知圈】.mp4 [40.0 MB]
09.快速排序-代码实现【公众号：秘知圈】.mp4 [61.5 MB]
12.二分查找-递归版【公众号：秘知圈】.mp4 [26.3 MB]
15.数据结构-树-应用场景和存储【公众号：秘知圈】.mp4 [40.5 MB]
21.根据遍历结果-逆推树形结构.mp4 [14.8 MB]
06.选择排序-代码实现.mp4 [29.1 MB]
18.自定义代码-模拟树形结构-添加元素.mp4 [87.8 MB]
13.二分查找-非递归版.mp4 [22.8 MB]
04.冒泡排序-代码实现.mp4 [31.2 MB]
17.树形结构-相关公式.mp4 [15.9 MB]
16.树形结构-应用场景-简介.mp4 [9.1 MB]
05.选择排序-分析流程.mp4 [27.0 MB]
20.模拟树形结构-遍历-深度优先.mp4 [55.6 MB]
02.排序算法-稳定性介绍.mp4 [14.0 MB]
08.快速排序-思路分析.mp4 [28.2 MB]
03.冒泡排序-原理介绍.mp4 [38.7 MB]
19.模拟树形结构-遍历-广度优先.mp4 [30.9 MB]
07.选择排序-代码实现.mp4 [52.1 MB]
14.数据结构-树-相关概述.mp4 [33.5 MB]
11.上午内容回顾.mp4 [16.3 MB]
01.昨日内容回顾.mp4 [48.9 MB]
📁 day01-面向对象基础
01.Python进阶-大纲介绍【公众号：秘知圈】.mp4 [12.5 MB]
11.魔法方法-init-无参数【公众号：秘知圈】.mp4 [50.7 MB]
10.在类内获取属性【公众号：秘知圈】.mp4 [18.3 MB]
15.案例-烤地瓜【公众号：秘知圈】.mp4 [62.7 MB]
06.self对象介绍.mp4 [28.2 MB]
13.魔法方法-str和del.mp4 [36.8 MB]
12.魔法方法-init-有参数.mp4 [39.8 MB]
09.上午内容回顾.mp4 [35.5 MB]
08.在类外定义和获取属性.mp4 [24.5 MB]
03.面向对象-初识.mp4 [41.2 MB]
14.案例-减肥.mp4 [34.9 MB]
02.今日内容大纲介绍.mp4 [7.2 MB]
04.面向对象-三大特征介绍.mp4 [52.5 MB]
07.在类内部调用类的函数.mp4 [19.8 MB]
05.定义类和对象.mp4 [40.0 MB]
📁 day06_多线程_生成器
16.多线程-解决线程安全问题【公众号：秘知圈】.mp4 [39.9 MB]
19.自定义代码实现-上下文管理器(了解)【公众号：秘知圈】.mp4 [67.1 MB]
03.多进程-参数解释【公众号：秘知圈】.mp4 [39.3 MB]
04.多进程-获取进程编号【公众号：秘知圈】.mp4 [39.1 MB]
15.多线程-操作共享变量-出现非法值【公众号：秘知圈】.mp4 [45.6 MB]
18.回顾-with open语法【公众号：秘知圈】.mp4 [25.8 MB]
07.设置主进程结束-子进程同步结束【公众号：秘知圈】.mp4 [38.5 MB]
17.多线程和多进程的区别【公众号：秘知圈】.mp4 [21.0 MB]
14.多线程-线程间共享数据.mp4 [23.6 MB]
10.多线程-参数解释.mp4 [18.8 MB]
09.多线程-入门.mp4 [14.1 MB]
08.多线程-基本概述.mp4 [24.9 MB]
02.今日内容大纲介绍.mp4 [10.8 MB]
13.上午内容回顾.mp4 [27.5 MB]
11.多线程-执行顺序.mp4 [36.4 MB]
12.多线程-守护线程.mp4 [13.5 MB]
06.默认-主进程会等待子进程结束再结束.mp4 [21.4 MB]
05.多进程-进程之间数据相互隔离.mp4 [35.1 MB]
01.昨日反馈处理.mp4 [20.9 MB]
📁 day07_正则表达式
18.数据结构和算法-入门【公众号：秘知圈】.mp4 [18.9 MB]
16.正则表达式-或者 和 分组【公众号：秘知圈】.mp4 [53.1 MB]
10.正则表达式-数量词【公众号：秘知圈】.mp4 [26.3 MB]
17.正则表达式-分组详解【公众号：秘知圈】.mp4 [76.6 MB]
13.正则表达式-校验单个字符【公众号：秘知圈】.mp4 [48.7 MB]
09.正则表达式-入门.mp4 [32.3 MB]
06.property-装饰器用法.mp4 [32.3 MB]
12.上午内容回顾.mp4 [24.4 MB]
15.正则表达式-校验开头和结尾.mp4 [38.2 MB]
01.昨日反馈处理.mp4 [25.9 MB]
05.生成器-自定义数据迭代器.mp4 [87.2 MB]
19.数据结构和算法-特点.mp4 [38.2 MB]
14.正则表达式-校验多个字符.mp4 [37.7 MB]
04.生成器-yield关键字.mp4 [25.2 MB]
02.今日内容大纲介绍.mp4 [6.8 MB]
03.生成器-推导式写法.mp4 [27.3 MB]
07.property-修饰类变量.mp4 [20.1 MB]
08.正则表达式-相关概述.mp4 [28.1 MB]
11.正则表达式-替换.mp4 [36.4 MB]
20.时间复杂度简介.mp4 [37.9 MB]
📁 day02-面向对象高级
03.定义类的格式【公众号：秘知圈】.mp4 [11.3 MB]
10.继承-多层继承【公众号：秘知圈】.mp4 [22.3 MB]
06.继承-多继承【公众号：秘知圈】.mp4 [32.5 MB]
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [20.5 MB]
20.类方法和静态方法详解.mp4 [44.3 MB]
09.继承-子类访问父类成员-方式2.mp4 [42.9 MB]
14.扩展-方法重写案例-手机类.mp4 [35.9 MB]
05.继承-单继承.mp4 [17.3 MB]
08.继承-子类访问父类成员-方式1.mp4 [85.0 MB]
07.继承-方法重写-入门.mp4 [21.5 MB]
17.多态案例战斗机.mp4 [46.3 MB]
18.抽象类详解.mp4 [29.8 MB]
13.封装-私有化方法.mp4 [41.2 MB]
04.继承-入门.mp4 [31.6 MB]
16.扩展Java版多态.mp4 [46.9 MB]
12.上午内容回顾.mp4 [28.4 MB]
19.类属性和对象属性详解.mp4 [47.7 MB]
01.昨日反馈处理.mp4 [37.4 MB]
15.多态-入门.mp4 [51.5 MB]
11.封装-私有化属性.mp4 [44.4 MB]
📁 day05_网编和多线程
05.协议-介绍【公众号：秘知圈】.mp4 [38.6 MB]
10.案例-收发1句话-服务器端代码实现【公众号：秘知圈】.mp4 [41.6 MB]
01.昨日反馈处理.mp4 [35.3 MB]
19.多任务介绍.mp4 [45.0 MB]
14扩展.服务器端-接收多客户端消息.mp4 [53.2 MB]
11.案例-收发1句话-客户端代码实现.mp4 [37.6 MB]
04.端口号-介绍.mp4 [32.1 MB]
03.网络编程-介绍.mp4 [52.3 MB]
08.TCP流程分析.mp4 [30.3 MB]
09.字符串和二进制数据相互转换.mp4 [39.4 MB]
13.服务器端-端口号复用.mp4 [28.8 MB]
12.上午内容回顾.mp4 [35.7 MB]
15.扩展长连接.mp4 [39.7 MB]
07.socket-入门.mp4 [14.6 MB]
17.扩展文件上传支持多客户端.mp4 [27.9 MB]
16.扩展文件上传.mp4 [54.7 MB]
06.网络通信-原理.mp4 [22.8 MB]
20.多进程-代码实现.mp4 [71.1 MB]
18.并行和并发介绍.mp4 [52.9 MB]
02.今日内容大纲介绍.mp4 [6.4 MB]
📁 day04_闭包和装饰器
02.函数名-作为对象【公众号：秘知圈】.mp4 [38.7 MB]
03.函数名-作为实参传递【公众号：秘知圈】.mp4 [21.2 MB]
05.闭包-图解【公众号：秘知圈】.mp4 [22.5 MB]
17.带有参数的装饰器(下)【公众号：秘知圈】.mp4 [18.4 MB]
04.闭包-入门.mp4 [61.4 MB]
11.装饰器-无参有返回值.mp4 [24.1 MB]
13.装饰器-可变参数.mp4 [20.1 MB]
01.昨日内容回顾.mp4 [28.6 MB]
07.装饰器-入门.mp4 [48.7 MB]
08.装饰器-无参无返回值.mp4 [29.0 MB]
15.多个装饰器-执行流程.mp4 [35.0 MB]
14.多个装饰器-装饰1个函数.mp4 [27.5 MB]
06.闭包-nonlocal关键字.mp4 [36.6 MB]
10.上午内容回顾.mp4 [18.1 MB]
16.带有参数的装饰器(上).mp4 [62.1 MB]
09.装饰器-有参无返回值.mp4 [13.5 MB]
12.装饰器-有参有返回值.mp4 [13.1 MB]
📁 day08_算法和数据结构
21.链表类-往末尾添加元素【公众号：秘知圈】.mp4 [17.8 MB]
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [11.6 MB]
13.上午内容回顾【公众号：秘知圈】.mp4 [23.4 MB]
23.链表类-删除元素【公众号：秘知圈】.mp4 [38.3 MB]
17.链表类-判断链表是否为空【公众号：秘知圈】.mp4 [19.4 MB]
15.自定义代码模拟链表-创建节点类.mp4 [29.7 MB]
14.链表-介绍.mp4 [56.7 MB]
06.常见的时间复杂度介绍(掌握).mp4 [27.6 MB]
24.链表类-查找元素.mp4 [24.4 MB]
18.链表类-获取长度.mp4 [12.7 MB]
05.最优最坏时间复杂度介绍.mp4 [17.3 MB]
16.链表类-架构搭建.mp4 [36.9 MB]
04.时间复杂度计算.mp4 [30.3 MB]
19.链表类-遍历链表.mp4 [13.6 MB]
01.昨日反馈处理.mp4 [38.3 MB]
09.数据结构-划分.mp4 [23.6 MB]
07.空间复杂度介绍(了解).mp4 [18.1 MB]
10.数据结构-线性结构-顺序表介绍.mp4 [31.8 MB]
11.数据结构-线性结构-顺序表扩容策略.mp4 [25.4 MB]
03.时间复杂度介绍.mp4 [43.7 MB]
12.数据结构-线性结构-顺序表-添加和删除.mp4 [32.2 MB]
20.链表类-往头部添加元素.mp4 [16.4 MB]
08.回顾-数据结构和算法概述.mp4 [13.9 MB]
25.顺序表和链表区别.mp4 [19.7 MB]
22.链表类-往中间添加元素.mp4 [53.2 MB]
资料更新与获取方式.png [493.5 KB]
📁 01_Python基础-V5.X版-14天-AI版
📁 03.Python基础
📁 day06
资料更新与获取方式.png [493.5 KB]
01.昨日反馈处理【公众号：秘知圈】.mp4 [37.5 MB]
04.函数参数-位置参数【公众号：秘知圈】.mp4 [30.8 MB]
20.扩展-with-open语句【公众号：秘知圈】.mp4 [19.7 MB]
09.组包和拆包解释【公众号：秘知圈】.mp4 [18.9 MB]
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [8.1 MB]
17.文件操作-读取数据-中文【公众号：秘知圈】.mp4 [44.5 MB]
12.扩展-引用相关的面试题.mp4 [44.6 MB]
03.函数-同时返回多个值.mp4 [28.8 MB]
19.综合案例-备份文件.mp4 [57.0 MB]
16.文件操作-读取数据.mp4 [27.8 MB]
15.文件操作-打开文件.mp4 [66.1 MB]
07.函数参数-不定长参数.mp4 [69.6 MB]
05.函数参数-关键字参数.mp4 [19.6 MB]
11.引用详解(了解).mp4 [49.4 MB]
10.交换变量值.mp4 [21.3 MB]
06.函数参数-缺省参数.mp4 [13.1 MB]
13.匿名函数(上).mp4 [49.7 MB]
14.匿名函数(下).mp4 [21.4 MB]
08.函数参数-不定长参数-案例.mp4 [12.9 MB]
18.文件操作-写数据.mp4 [63.6 MB]
📁 day02
05.if语句-单分支【公众号：秘知圈】.mp4 [31.8 MB]
01.昨日反馈处理【公众号：秘知圈】.mp4 [36.5 MB]
02.昨日作业处理交换变量.mp4 [56.7 MB]
03.今日内容大纲介绍.mp4 [6.3 MB]
04.顺序结构介绍.mp4 [15.0 MB]
17.循环嵌套-打印矩形.mp4 [27.1 MB]
13.循环-入门.mp4 [38.2 MB]
20.循环嵌套-打印99乘法表.mp4 [30.1 MB]
18.循环嵌套-打印正三角形.mp4 [14.5 MB]
16.循环-统计思想.mp4 [21.2 MB]
10.分支结构-猜拳游戏.mp4 [49.0 MB]
12.扩展Debug断点调试.mp4 [55.7 MB]
19.循环嵌套-打印倒三角形.mp4 [12.6 MB]
11.扩展-三元表达式.mp4 [36.9 MB]
09.if语句-嵌套.mp4 [28.6 MB]
06.比较运算符和逻辑运算符.mp4 [40.1 MB]
08.if语句-多分支.mp4 [70.7 MB]
15.循环求和-偶数和.mp4 [20.7 MB]
14.循环求和-1 ~ 100之间数字和.mp4 [15.9 MB]
07.if语句-双分支.mp4 [25.8 MB]
📁 day05
15.变量的作用域【公众号：秘知圈】.mp4 [50.9 MB]
14.函数-嵌套调用案例.mp4 [40.8 MB]
05.容器类型公共操作-函数.mp4 [41.1 MB]
02.今日内容大纲介绍.mp4 [7.2 MB]
16.多函数执行流程.mp4 [36.6 MB]
13.函数-嵌套调用.mp4 [56.2 MB]
06.列表推导式详解.mp4 [43.7 MB]
12.函数-返回值详解.mp4 [28.6 MB]
08.函数-入门.mp4 [58.4 MB]
03.集合-入门.mp4 [23.2 MB]
09.上午内容回顾.mp4 [37.2 MB]
07.集合和字典推导式详解.mp4 [33.8 MB]
10.函数-说明文档.mp4 [45.3 MB]
04.容器类型公共操作-运算符.mp4 [32.2 MB]
01.昨日内容回顾.mp4 [74.6 MB]
11.函数-参数解释.mp4 [40.3 MB]
📁 day03
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [11.5 MB]
09.扩展-打印质数【公众号：秘知圈】.mp4 [56.4 MB]
12.字符串-切片【公众号：秘知圈】.mp4 [61.5 MB]
13.字符串-常用函数-find-index【公众号：秘知圈】.mp4 [32.8 MB]
03.for循环-入门【公众号：秘知圈】.mp4 [45.5 MB]
07.猜数字游戏【公众号：秘知圈】.mp4 [28.3 MB]
16.字符串案例-判断文件名是否以.png结尾【公众号：秘知圈】.mp4 [19.0 MB]
10.字符串-入门.mp4 [38.8 MB]
08.扩展-循环+else语法.mp4 [11.2 MB]
04.for循环-99乘法表.mp4 [23.3 MB]
14.字符串-常用函数-replace-split.mp4 [41.7 MB]
11.字符串-下标.mp4 [25.4 MB]
01.昨日反馈处理.mp4 [54.8 MB]
05.循环控制跳转语句-break和continue.mp4 [39.5 MB]
15.字符串案例-打印偶数索引.mp4 [10.9 MB]
06.报数字游戏.mp4 [28.2 MB]
📁 day07
24.学生管理系统-查询所有学生信息【公众号：秘知圈】.mp4 [29.2 MB]
01.昨日反馈处理【公众号：秘知圈】.mp4 [20.7 MB]
02.昨日内容回顾【公众号：秘知圈】.mp4 [34.6 MB]
03.今日内容大纲介绍.mp4 [4.4 MB]
08.异常-传递性.mp4 [40.6 MB]
19.学生管理系统-根据学号删除学生信息.mp4 [18.4 MB]
11.模块name属性.mp4 [26.2 MB]
07.异常-完整格式.mp4 [56.1 MB]
05.异常-入门.mp4 [19.9 MB]
25.学生管理系统-升级版思路.mp4 [28.9 MB]
20.学生管理系统-根据姓名删除学生信息.mp4 [62.4 MB]
09.模块-导入方式详解.mp4 [49.0 MB]
18.学生管理系统-添加学生.mp4 [44.8 MB]
17.学生管理系统-架构实现.mp4 [18.2 MB]
15.学生管理系统-演示及需求分析.mp4 [30.7 MB]
16.学生管理系统-打印界面.mp4 [12.5 MB]
21.学生管理系统-修改学生信息.mp4 [21.9 MB]
04.异常-演示.mp4 [21.0 MB]
14.包-详解.mp4 [41.9 MB]
10.导入-自定义模块.mp4 [24.3 MB]
06.异常-捕获指定异常.mp4 [25.2 MB]
23.学生管理系统-根据姓名查询学生信息.mp4 [21.7 MB]
13.上午内容回顾.mp4 [35.5 MB]
22.学生管理系统-根据学号查询学生信息.mp4 [14.7 MB]
12.模块all属性.mp4 [16.1 MB]
📁 day08
01.昨日反馈处理【公众号：秘知圈】.mp4 [43.7 MB]
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [3.9 MB]
12.PyMysql-入门【公众号：秘知圈】.mp4 [80.1 MB]
05.排列组合【公众号：秘知圈】.mp4 [16.3 MB]
07.模拟登陆.mp4 [17.2 MB]
03.os模块介绍.mp4 [47.9 MB]
11.递归-斐波那契数列数列.mp4 [23.7 MB]
13.PyMysql-CURD操作.mp4 [49.1 MB]
06.统计每个字符的次数.mp4 [28.8 MB]
04-约瑟夫环.mp4 [48.4 MB]
10.递归-阶乘图解.mp4 [17.9 MB]
08.模拟斗地主发牌.mp4 [57.8 MB]
09.递归-求阶乘.mp4 [17.6 MB]
📁 day01
12.Python基础语法-注释【公众号：秘知圈】.mp4 [14.0 MB]
20.类型转换【公众号：秘知圈】.mp4 [34.1 MB]
03.今日内容大纲介绍【公众号：秘知圈】.mp4 [11.1 MB]
04.计算机简介【公众号：秘知圈】.mp4 [33.8 MB]
16.输出(上)【公众号：秘知圈】.mp4 [38.8 MB]
18.输入.mp4 [17.0 MB]
01.昨日内容回顾.mp4 [66.4 MB]
15.标识符和关键字.mp4 [46.1 MB]
17.输出(下).mp4 [43.4 MB]
07.扩展编译型和解释型语言对比.mp4 [31.1 MB]
14.变量-数据类型.mp4 [43.4 MB]
06.Python语言介绍.mp4 [27.3 MB]
08.Python环境搭建.mp4 [50.7 MB]
05.计算机语言介绍.mp4 [37.0 MB]
02.Python阶段-大纲介绍.mp4 [28.3 MB]
13.变量-入门.mp4 [34.6 MB]
09.Python入门案例-HelloWorld(重要).mp4 [62.6 MB]
10.PyCharm基本设置和常用插件.mp4 [21.2 MB]
11.上午内容回顾.mp4 [28.5 MB]
19.运算符详解.mp4 [47.7 MB]
📁 day04
12.元组-详解【公众号：秘知圈】.mp4 [34.1 MB]
16.字典-查询相关【公众号：秘知圈】.mp4 [16.2 MB]
18.今日内容总结【公众号：秘知圈】.mp4 [37.8 MB]
15.字典-增删改【公众号：秘知圈】.mp4 [21.6 MB]
10.列表-嵌套.mp4 [32.8 MB]
08.上午内容回顾.mp4 [31.2 MB]
02.列表-入门.mp4 [36.6 MB]
05.列表-查.mp4 [22.3 MB]
01.今日内容大纲介绍.mp4 [9.2 MB]
07.列表-删.mp4 [20.7 MB]
13.列表-幸运数字6.mp4 [30.1 MB]
03.列表-遍历.mp4 [21.9 MB]
09.列表-改.mp4 [14.3 MB]
11.列表-嵌套案例-随机分配办公室.mp4 [31.0 MB]
06.扩展-大串中小串出现的次数.mp4 [28.3 MB]
14.字典-入门.mp4 [21.4 MB]
04.列表-增.mp4 [36.4 MB]
17.字典-遍历.mp4 [46.3 MB]
📁 02.MySQL基础
📁 day03-Mysql多表查询
02.今日内容大纲介绍【公众号：秘知圈】.mp4 [11.5 MB]
11.自关联查询-导入数据【公众号：秘知圈】.mp4 [53.9 MB]
13.多表建表-多对多图解【公众号：秘知圈】.mp4 [38.6 MB]
12.自关联查询-代码实现【公众号：秘知圈】.mp4 [48.7 MB]
04.多表建表-一对多-代码实现【公众号：秘知圈】.mp4 [110.1 MB]
06.多表查询-交叉查询.mp4 [11.2 MB]
01.昨日反馈处理.mp4 [53.4 MB]
03.多表建表-一对多-图解.mp4 [31.2 MB]
10.上午内容回顾.mp4 [24.0 MB]
05.多表查询-准备数据.mp4 [30.3 MB]
08.多表查询-外连接查询.mp4 [23.3 MB]
14.多表建表-多对多代码实现.mp4 [76.2 MB]
16.SQL练习题-导入数据.mp4 [72.9 MB]
07.多表查询-内连接查询.mp4 [13.8 MB]
15.多表建表-一对一建表(了解).mp4 [23.4 MB]
17.扩展case when 和 if函数.mp4 [26.5 MB]
09.多表查询-子查询.mp4 [66.2 MB]
📁 day02-Mysql查询
06.扩展-如何备份表数据【公众号：秘知圈】.mp4 [36.4 MB]
15.多表查询-入门(明天还会重头讲)【公众号：秘知圈】.mp4 [53.6 MB]
03.约束-主键约束详解【公众号：秘知圈】.mp4 [42.5 MB]
13.单表查询-分组查询.mp4 [68.7 MB]
04.扩展-delete 和 truncate的区别.mp4 [29.3 MB]
08.单表查询-基本查询.mp4 [29.8 MB]
10.上午内容回顾.mp4 [53.9 MB]
01.昨日反馈处理.mp4 [74.6 MB]
05.约束-单表约束详解.mp4 [42.2 MB]
09.单表查询-条件查询.mp4 [62.3 MB]
02.今日内容大纲介绍.mp4 [10.5 MB]
12.单表查询-聚合查询.mp4 [54.2 MB]
07.单表查询-准备动作.mp4 [36.7 MB]
11.单表查询-排序查询.mp4 [16.8 MB]
14.单表查询-分页查询.mp4 [104.6 MB]
📁 day04-窗口函数+练习题
09.SQL练习题(34题)-11 ~ 15题【公众号：秘知圈】.mp4 [71.4 MB]
06.SQL练习题(34题)-表字段介绍【公众号：秘知圈】.mp4 [30.8 MB]
01.昨日内容回顾【公众号：秘知圈】.mp4 [28.2 MB]
07.SQL练习题(34题)-前5题【公众号：秘知圈】.mp4 [112.5 MB]
02.窗口函数介绍.mp4 [37.1 MB]
14.SQL练习题(34题)-29 ~ 34题.mp4 [65.5 MB]
12.SQL练习题(34题)-21 ~ 24题.mp4 [49.4 MB]
10.SQL练习题(34题)-16 ~ 17题.mp4 [57.5 MB]
08.SQL练习题(34题)-5 ~ 10题.mp4 [83.2 MB]
13.SQL练习题(34题)-25 ~ 28题.mp4 [62.3 MB]
04.扩展case when语句.mp4 [20.1 MB]
05.SQL练习题(34题)-导入数据.mp4 [33.0 MB]
11.SQL练习题(34题)-18 ~ 20题.mp4 [51.1 MB]
03.窗口函数-初体验.mp4 [59.9 MB]
📁 day01-Mysql基础
03.数据库-概述【公众号：秘知圈】.mp4 [31.4 MB]
19.DML语句-修改和删除表数据【公众号：秘知圈】.mp4 [33.9 MB]
18.DML语句-添加表数据【公众号：秘知圈】.mp4 [46.9 MB]
17.DDL语句-操作字段【公众号：秘知圈】.mp4 [34.5 MB]
13.SQL-通用语法.mp4 [30.1 MB]
04.数据库-DBMS和数据库的关系.mp4 [24.3 MB]
14.SQL-常用数据类型.mp4 [44.9 MB]
15.DDL语句-操作数据库.mp4 [77.2 MB]
08.MySQL-登陆和登出.mp4 [30.8 MB]
16.DDL语句-操作数据表.mp4 [64.4 MB]
10.DataGrip-连接MySQL.mp4 [45.3 MB]
11.DataGrip-基本设置.mp4 [35.9 MB]
06.数据库-环境搭建.mp4 [68.4 MB]
12.SQL-分类介绍.mp4 [31.0 MB]
02.今日内容大纲介绍.mp4 [11.1 MB]
05.数据库-常见数据库介绍.mp4 [39.0 MB]
01.昨日反馈处理.mp4 [27.6 MB]
09.DataGrip-安装.mp4 [49.7 MB]
07.数据库-常见的问题.mp4 [25.9 MB]
📁 01.Linux基础
📁 Day02_Linux基础
09.Linux命令-su和sudo【公众号：秘知圈】.mp4 [42.0 MB]
21.Linux命令-进程相关【公众号：秘知圈】.mp4 [22.7 MB]
11.上午内容回顾【公众号：秘知圈】.mp4 [12.3 MB]
23.Linux命令-压缩和解压缩【公众号：秘知圈】.mp4 [37.6 MB]
12.权限管理-图解【公众号：秘知圈】.mp4 [31.9 MB]
08.Linux命令-查看命令手册【公众号：秘知圈】.mp4 [15.4 MB]
13.Linux命令-chmod命令(重点掌握)【公众号：秘知圈】.mp4 [51.9 MB]
10.Linux命令-用户和用户组相关(了解).mp4 [40.6 MB]
05.Linux命令-vi编辑器(重点).mp4 [22.4 MB]
03.Linux命令-管道-过滤-统计.mp4 [52.2 MB]
20.Linux命令-端口号相关.mp4 [22.0 MB]
22.Linux命令-上传和下载.mp4 [36.4 MB]
19.Linux命令-网络相关.mp4 [72.4 MB]
18.Linux命令-软连接和硬链接.mp4 [20.4 MB]
16.Linux命令-yum方式安装软件.mp4 [36.7 MB]
01.昨日内容回顾.mp4 [33.2 MB]
06.Linux命令-如何修改IP地址.mp4 [14.9 MB]
15.Linux命令-常用快捷键.mp4 [18.1 MB]
17.Linux命令-systemctl命令.mp4 [14.9 MB]
04.Linux命令-重定向-echo-反引号-tail.mp4 [32.9 MB]
07.Linux命令-vi命令详解.mp4 [36.2 MB]
02.今日内容大纲介绍.mp4 [6.5 MB]
14.Linux命令-chown命令.mp4 [23.6 MB]
📁 Day01_Linux基础
17.Linux命令查找相关【公众号：秘知圈】.mp4 [47.5 MB]
12.Linux目录结构介绍【公众号：秘知圈】.mp4 [26.3 MB]
08.VMware挂载虚拟机(掌握).mp4 [19.7 MB]
10.上午内容回顾.mp4 [12.7 MB]
15.Linux命令mkdir.mp4 [16.6 MB]
09.FinalShell连接Linux虚拟机.mp4 [104.9 MB]
13.Linux命令ls.mp4 [50.2 MB]
04.Linux系统简介.mp4 [46.6 MB]
01.Python基础阶段大纲.mp4 [13.0 MB]
05.宿主机和虚拟机关系图.mp4 [21.1 MB]
03.计算机初识.mp4 [45.4 MB]
16.Linux命令文件相关.mp4 [60.8 MB]
02.今日内容大纲介绍.mp4 [13.1 MB]
18.今日内容总结.mp4 [31.4 MB]
14.Linux命令cdpwd.mp4 [55.7 MB]
06.如何安装Vmware软件.mp4 [38.9 MB]
07.手动安装Linux虚拟机(了解).mp4 [43.0 MB]
11.扩展Linux快照.mp4 [25.8 MB]
建议您看一下.png [493.5 KB]
📁 阶段014 赠品-AI智慧交通项目实战
📁 04-车道线检测
更多配套资料.png [493.5 KB]
08-双目较正【公众号：秘知圈】.mp4 [16.8 MB]
02-相机坐标系转换【公众号：秘知圈】.mp4 [61.5 MB]
04-相机较正方法【公众号：秘知圈】.mp4 [91.7 MB]
17-车道线检测流程.mp4 [24.0 MB]
01-车道线检测原理.mp4 [50.4 MB]
13-车道线拟合.mp4 [74.8 MB]
10-图像去畸变.mp4 [21.4 MB]
03-内容回顾.mp4 [90.3 MB]
18-效果展示.mp4 [10.4 MB]
05-优化方法.mp4 [82.6 MB]
11-车道线提取.mp4 [42.9 MB]
14-车道线填充.mp4 [19.7 MB]
09-相机较正实现.mp4 [101.8 MB]
15-车道线曲率.mp4 [47.4 MB]
12-车道线定位.mp4 [56.8 MB]
16-车辆偏离中心库里计算.mp4 [29.2 MB]
06-优化方法2.mp4 [87.2 MB]
07-相机较正流程.mp4 [21.5 MB]
📁 03-车流量统计
重要资料查看说明.png [493.5 KB]
08-sort算法实现1.mp4 [81.0 MB]
11-deepsort算法跟踪【公众号：秘知圈】.mp4 [20.4 MB]
01-车流量统计思想.mp4 [25.3 MB]
05-卡尔曼滤波.mp4 [62.9 MB]
09-sort算法实现2.mp4 [46.8 MB]
07-卡尔曼滤波实践.mp4 [82.3 MB]
10-sort算法实现跟踪.mp4 [88.8 MB]
02-多目标跟踪算法.mp4 [59.2 MB]
03-sort和deepsort算法.mp4 [27.7 MB]
04-KM算法.mp4 [33.4 MB]
06-卡尔曼滤波思想.mp4 [82.7 MB]
📁 01-opencv
02-项目构成【公众号：秘知圈】.mp4 [11.6 MB]
15-canny边缘检测【公众号：秘知圈】.mp4 [35.4 MB]
13-边缘检测思想.mp4 [72.6 MB]
03-资料共享.mp4 [6.1 MB]
12-图像平滑方法.mp4 [67.3 MB]
17-opencv总结.mp4 [49.7 MB]
10-透射变换.mp4 [15.1 MB]
14-sobel边缘检测.mp4 [17.1 MB]
09-图像旋转和仿射变换.mp4 [35.6 MB]
04-opencv介绍.mp4 [16.0 MB]
11-图像噪声.mp4 [11.6 MB]
08-图像缩放与平移.mp4 [47.5 MB]
06-绘制几何图像.mp4 [36.3 MB]
01-项目架构.mp4 [15.3 MB]
16-视频读写.mp4 [40.7 MB]
05-图像读写.mp4 [27.9 MB]
07-图像加法.mp4 [30.5 MB]
📁 02-yoloV8
04-效果展示【公众号：秘知圈】.mp4 [19.4 MB]
05-streamlit的实现【公众号：秘知圈】.mp4 [59.1 MB]
02-V8简介【公众号：秘知圈】.mp4 [17.6 MB]
01-YOLO发展.mp4 [11.7 MB]
03-V8的使用.mp4 [51.8 MB]
📁 06_深度学习基础-V5.X版-6天-AI版
📁 day03
新手必看.zip [1.8 MB]
12-回归损失函数.mp4 [30.8 MB]
09-损失函数.mp4 [42.3 MB]
03-其他激活函数.mp4 [16.3 MB]
06-模型构建.mp4 [55.8 MB]
01-内容回顾.mp4 [16.7 MB]
10-交叉熵损失.mp4 [19.8 MB]
08-神经网络优缺点.mp4 [14.3 MB]
04-激活函数总结.mp4 [4.7 MB]
11-二分类交叉熵损失.mp4 [16.0 MB]
07-参数量统计.mp4 [26.8 MB]
02-softmax.mp4 [22.0 MB]
13-梯度下降算法.mp4 [29.9 MB]
05-参数初始化.mp4 [49.3 MB]
📁 day04
学习前请先查看.png [493.5 KB]
04-案例：反向输出层【公众号：秘知圈】.mp4 [19.6 MB]
12-正则化方法【公众号：秘知圈】.mp4 [33.6 MB]
11-学习率衰减2【公众号：秘知圈】.mp4 [13.4 MB]
09-rmsprop+adam【公众号：秘知圈】.mp4 [8.6 MB]
06-指数加权平均【公众号：秘知圈】.mp4 [53.4 MB]
13-BN层.mp4 [10.7 MB]
14-手机价格分类案例.mp4 [61.4 MB]
10-学习率衰减.mp4 [36.2 MB]
05-案例：反向隐藏层.mp4 [8.9 MB]
08-adagrad.mp4 [14.1 MB]
03-案例：前向过程.mp4 [14.0 MB]
02-前向和反向的过程.mp4 [20.7 MB]
07-动量法.mp4 [22.2 MB]
15-训练和预测.mp4 [45.6 MB]
01-内容回顾.mp4 [31.7 MB]
📁 day06
01-RNN介绍【公众号：秘知圈】.mp4 [29.1 MB]
09-内容总结【公众号：秘知圈】.mp4 [46.5 MB]
07-模型训练【公众号：秘知圈】.mp4 [40.0 MB]
05-数据集封装.mp4 [31.5 MB]
08-模型预测.mp4 [40.8 MB]
04-歌词生成案例.mp4 [83.1 MB]
02-RNN的流程.mp4 [14.8 MB]
03-API.mp4 [37.0 MB]
06-模型构建.mp4 [45.8 MB]
📁 day05
05-池化层【公众号：秘知圈】.mp4 [31.6 MB]
07-网络结构构建【公众号：秘知圈】.mp4 [24.5 MB]
02-卷积神经网络的构成.mp4 [13.7 MB]
08-网络构建实现.mp4 [29.7 MB]
01-图像是什么.mp4 [39.2 MB]
11-词嵌入层.mp4 [58.8 MB]
09-模型训练.mp4 [30.5 MB]
04-卷积层的实现.mp4 [22.3 MB]
06-图像分类案例.mp4 [33.5 MB]
12-内容总结.mp4 [5.7 MB]
03-卷积层.mp4 [62.6 MB]
10-自然语言处理概述.mp4 [16.5 MB]
📁 day02
05-自动微分2【公众号：秘知圈】.mp4 [14.4 MB]
10-sigmoid.mp4 [27.8 MB]
07-回归案例总结.mp4 [38.6 MB]
02-view.mp4 [19.3 MB]
11-tanh+relu.mp4 [32.8 MB]
03-张量拼接.mp4 [19.5 MB]
08-神经网络介绍.mp4 [47.9 MB]
09-激活函数作用.mp4 [19.4 MB]
06-线性回归案例.mp4 [68.9 MB]
01-形状变换.mp4 [38.5 MB]
04-自动微分.mp4 [26.3 MB]
📁 day01
13-索引操作【公众号：秘知圈】.mp4 [21.1 MB]
12-运算函数【公众号：秘知圈】.mp4 [22.3 MB]
06-全01张量【公众号：秘知圈】.mp4 [11.8 MB]
11-点乘和点积.mp4 [18.4 MB]
16-形状操作.mp4 [15.4 MB]
04-torch张量创建.mp4 [43.8 MB]
14-范围与布尔索引.mp4 [23.3 MB]
05-线性张量和随机张量.mp4 [18.9 MB]
09-标量.mp4 [7.4 MB]
10-基本运算.mp4 [14.8 MB]
08-张量和ndarray的转换.mp4 [28.2 MB]
02-发展历史.mp4 [29.3 MB]
15-多维索引.mp4 [14.9 MB]
01-深度学习是什么.mp4 [24.4 MB]
07-元素类型转换.mp4 [8.8 MB]
03-torch简介.mp4 [21.1 MB]
配套内容说明.png [493.5 KB]
📁 阶段011 赠品-投满分项目
📁 day05
更多课程资料领取入口.png [493.5 KB]
06-训练流程【公众号：秘知圈】.mp4 [31.4 MB]
05-模型训练【公众号：秘知圈】.mp4 [57.5 MB]
12-自定义剪枝【公众号：秘知圈】.mp4 [21.3 MB]
04-损失计算【公众号：秘知圈】.mp4 [45.0 MB]
07-剪枝思想【公众号：秘知圈】.mp4 [11.2 MB]
11-全局剪枝.mp4 [26.8 MB]
02-textCNN介绍.mp4 [52.3 MB]
09-结构化剪枝.mp4 [11.3 MB]
08-特定层剪枝.mp4 [50.1 MB]
01-内容回顾.mp4 [15.1 MB]
10-多层剪枝.mp4 [31.6 MB]
03-数据对齐.mp4 [28.4 MB]
06-主函数.mp4 [28.9 MB]
📁 day04
05-数据获取【公众号：秘知圈】.mp4 [85.1 MB]
01-昨日回顾【公众号：秘知圈】.mp4 [36.3 MB]
03-模型蒸馏项目架构.mp4 [12.8 MB]
02-模型蒸馏思想.mp4 [49.5 MB]
08-textCNN实践.mp4 [80.6 MB]
07-数据迭代实现.mp4 [51.3 MB]
06-数据获取实现.mp4 [13.4 MB]
04-词表构建.mp4 [62.6 MB]
📁 day06
03-项目串讲【公众号：秘知圈】.mp4 [15.9 MB]
02-数据集构建方法.mp4 [6.9 MB]
01-面试问题和工作文问题.mp4 [58.8 MB]
📁 day03
07-模型量化【公众号：秘知圈】.mp4 [30.7 MB]
06-模型部署.mp4 [27.1 MB]
04-实现2.mp4 [70.7 MB]
02-模型训练与评估思想.mp4 [34.0 MB]
01-模型构建.mp4 [191.1 KB]
05-模型预测.mp4 [69.1 MB]
03-模型训练与评估实现.mp4 [75.1 MB]
📁 day02
06-bert数据获取【公众号：秘知圈】.mp4 [136.0 MB]
08-时间差计算【公众号：秘知圈】.mp4 [9.7 MB]
01-fasttext优化-分词.mp4 [15.8 MB]
05-bert代码结构构建.mp4 [10.0 MB]
04-bert数据信息.mp4 [42.0 MB]
02-模型训练.mp4 [10.6 MB]
07-数据迭代.mp4 [97.1 MB]
03-模型部署.mp4 [56.6 MB]
📁 day01
10-fasttext模型训练.mp4 [15.0 MB]
03-数据分布分析.mp4 [19.6 MB]
06-特征工程.mp4 [22.5 MB]
11-优化1-自动化参数搜索.mp4 [23.6 MB]
05-数据获取.mp4 [22.4 MB]
01-项目背景和数据集介绍.mp4 [70.0 MB]
02-数据集获取.mp4 [31.4 MB]
09-fasttext数据集构建.mp4 [34.8 MB]
04-分词.mp4 [27.8 MB]
07-模型构建与训练.mp4 [15.0 MB]
08-fasttext数据处理.mp4 [30.5 MB]
📁 阶段012 赠品-计算机视觉
📁 此部分为赠送教程-CV
📁 Opencv视频教程
📁 09 14个常用OpenCV+C++图像处理
📁 01_所需软件
OpenCV-2.1.0-win32-vs2008【公众号：秘知圈】.exe [29.1 MB]
vtkdata-5.8.0【公众号：秘知圈】.zip [76.6 MB]
cmake-2.8.7-win32-x86.exe [8.2 MB]
vtk-5.8.0.zip [29.6 MB]
📁 11_人脸检测与识别系统
📁 人脸识别
libfacedetection-master【公众号：秘知圈】.rar [460.0 KB]
DetectFace(Release).rar [7.6 MB]
detectface.cpp [3.1 KB]
OpenCV - win7+vs2013(2012)+opencv3.0.pdf [3.8 MB]
📁 一个基于 OpenCV 的人脸识别系统
📁 faceidentifysys
haarcascade【公众号：秘知圈】.exe [204.1 KB]
sub1news.jpg [4.7 KB]
cxts001.dll [128.1 KB]
highgui100.dll [612.1 KB]
haarcascade.opt [52.5 KB]
Thumbs.db [8.0 KB]
输入格式.doc [19.5 KB]
cv100.dll [824.0 KB]
haarcascade.dsw [547.0 B]
haarcascade.dsp [4.1 KB]
result.jpg [22.8 KB]
news.jpg [52.0 KB]
cvcam100.dll [48.0 KB]
cxcore100.dll [988.1 KB]
zhang1.jpg [215.8 KB]
haarcascade.ncb [49.0 KB]
sub0news.jpg [5.0 KB]
ml100.dll [244.0 KB]
haarcascadefrontalfacealt.xml [923.9 KB]
haarcascade.plg [960.0 B]
zhang.jpg [42.8 KB]
hu.JPG [64.5 KB]
sub0hu.jpg [5.0 KB]
haarcascade.cpp [5.8 KB]
libguide40.dll [192.0 KB]
sub0zhang.jpg [47.6 KB]
cvaux100.dll [584.0 KB]
📁 Images
face.bmp [421.0 KB]
📁 可执行文件
人脸检测与识别系统.exe [46.5 KB]
📁 源码
📁 人脸检测与识别系统
📁 res
人脸检测与识别系统.ico [1.1 KB]
My.rc2 [394.0 B]
人脸检测与识别系统.aps [22.5 KB]
stdafx.h [1.0 KB]
SimilarHood.h [1.2 KB]
ReadMe.txt [3.7 KB]
Dib.h [1.1 KB]
FaceDetectDlg.h [3.4 KB]
Resource.h [1.2 KB]
FaceDetectDlg.cpp [36.7 KB]
OpenImgDlg.cpp [1.2 KB]
Dib.cpp [4.3 KB]
stdafx.cpp [220.0 B]
人脸检测与识别系统.vcproj [5.7 KB]
人脸检测与识别系统.rc [5.9 KB]
OpenImgDlg.h [1.1 KB]
人脸检测与识别系统.h [1.4 KB]
SimilarHood.cpp [9.6 KB]
targetver.h [1.4 KB]
人脸检测与识别系统.cpp [2.2 KB]
人脸检测与识别系统.sln [947.0 B]
一个基于 OpenCV 的人脸识别系统【公众号：秘知圈】.rar [2.0 MB]
说明.txt [301.0 B]
📁 06_数字图像水印系统
📁 源码
📁 WaterMark_LSB
📁 res
SECUR02A.ICO [1.1 KB]
WaterMarkLSBDoc.ico [1.1 KB]
WaterMarkLSB.rc2 [405.0 B]
ReadMe【公众号：秘知圈】.txt [4.4 KB]
DIB.h [1.0 KB]
WaterMarkLSB.opt [52.5 KB]
WaterMarkLSB.vcproj [8.9 KB]
WaterMarkLSB.rc [9.7 KB]
Resource.h [1.3 KB]
StdAfx.cpp [215.0 B]
WaterMarkLSBDoc.h [1.5 KB]
WaterMarkLSBView.h [2.2 KB]
StdAfx.h [1.0 KB]
WaterMarkLSB.dsw [551.0 B]
WaterMarkLSB.dsp [4.8 KB]
WaterMarkLSB.cpp [4.3 KB]
WaterMarkLSBDoc.cpp [1.9 KB]
WaterMarkLSB.aps [42.6 KB]
WaterMarkLSB.plg [1.5 KB]
MainFrm.cpp [2.5 KB]
MainFrm.h [1.6 KB]
DIB.cpp [8.0 KB]
WaterMarkLSBView.cpp [6.8 KB]
WaterMarkLSB.h [1.4 KB]
WaterMarkLSB.sln [891.0 B]
📁 WaterMark
📁 res
WaterMark.ico [1.1 KB]
FACE.ICO [1.1 KB]
WaterMark.rc2 [401.0 B]
Dib.cpp [4.4 KB]
WaterMark.rc [5.6 KB]
WaterMark.cpp [2.1 KB]
WaterMark.vcproj [7.8 KB]
WaterMark.opt [53.5 KB]
WaterMark.dsp [4.3 KB]
WaterMark.clw [1.5 KB]
WaterMarkDlg.h [3.0 KB]
WaterMark.dsw [541.0 B]
WaterMark.plg [897.0 B]
WaterMark.sln [883.0 B]
WaterMarkDlg.cpp [20.8 KB]
Dib.h [964.0 B]
Resource.h [1.1 KB]
WaterMark.h [1.3 KB]
StdAfx.h [1.0 KB]
StdAfx.cpp [211.0 B]
WaterMark.aps [21.6 KB]
📁 可执行文件
WaterMarkLSB.exe [82.5 KB]
WaterMark.exe [120.5 KB]
📁 Images
dog1.bmp [104.4 KB]
graymark.bmp [14.0 KB]
graymark1.bmp [22.3 KB]
cat1.bmp [900.1 KB]
senery1.bmp [900.1 KB]
说明【公众号：秘知圈】.txt [715.0 B]
📁 10_指纹提取与识别系统
📁 可执行文件
指纹提取与识别系统【公众号：秘知圈】.exe [17.0 KB]
FPEngine.dll [621.5 KB]
FP.dll [118.5 KB]
📁 源码
📁 FPEngine
VFBinary.h [3.6 KB]
VFTemplate.h [227.0 B]
FPEngine.dsp [5.7 KB]
VFVerify.h [1.2 KB]
VFSmooth.h [1.7 KB]
StdAfx.h [1.1 KB]
VFApi.h [6.6 KB]
VFDivide.h [1.6 KB]
FPEngine.dsw [541.0 B]
VFEnhance.h [2.1 KB]
VFType.h [1.1 KB]
FPEngine.opt [179.5 KB]
VFErr.h [605.0 B]
StdAfx.cpp [295.0 B]
FPEngine.vcproj [7.6 KB]
ReadMe.txt [1.2 KB]
VFPatternMatch.h [11.3 KB]
VFGetOrientMap.h [2.3 KB]
VFGlobal.h [2.5 KB]
FPEngine.cpp [8.0 KB]
VFThin.h [7.3 KB]
VFGlobalMatch.h [4.4 KB]
VFGetMinutia.h [21.7 KB]
VFFunction.h [6.5 KB]
VFFeature2.h [3.3 KB]
VFAlignMatch.h [5.9 KB]
FPEngine.h [1.7 KB]
VFZoom.h [1.3 KB]
FPEngine.plg [1.9 KB]
VFFeature.h [3.3 KB]
VFFileIO.h [3.2 KB]
VFGetSingulary.h [3.8 KB]
FPEngine.sln [881.0 B]
📁 FP
📁 res
FP.rc2 [394.0 B]
Match.h [1.4 KB]
ReadMe.txt [2.5 KB]
Match.cpp [10.3 KB]
FPEngine.h [1.7 KB]
StdAfx.h [2.9 KB]
coding.h [3.2 KB]
Dib.h [1.1 KB]
FP.cpp [1.7 KB]
FP.APS [33.3 KB]
MinutiaExtract.h [27.7 KB]
FP.vcproj [8.3 KB]
test.h
preprocess.cpp [26.3 KB]
FP.h [1.2 KB]
FP.opt [176.5 KB]
FP.clw [300.0 B]
FP.sln [869.0 B]
FP.rc [3.1 KB]
FPA.H [4.8 KB]
FP.def [172.0 B]
FP.lib [3.3 KB]
FP.dll [118.5 KB]
FPA.CPP [10.7 KB]
FP.plg [2.1 KB]
Dib.cpp [4.4 KB]
FPAGlobal.h [1.6 KB]
FP.dsp [4.7 KB]
FP.dsw [529.0 B]
patternMatch.h [20.6 KB]
FPAType.h [684.0 B]
MinutiaExtract.cpp [23.7 KB]
StdAfx.cpp [204.0 B]
UtilityFunction.h [6.6 KB]
preprocess.h [1.6 KB]
Resource.h [408.0 B]
📁 指纹提取与识别系统
📁 res
指纹提取与识别系统.ico [1.1 KB]
My.rc2 [394.0 B]
指纹提取与识别系统.aps [37.4 KB]
指纹提取与识别系统.h [1.3 KB]
ReadMe.txt [3.6 KB]
指纹提取与识别系统.vcproj [5.6 KB]
指纹提取与识别系统.cpp [1.8 KB]
FingerMatch.h [1.3 KB]
Resource.h [874.0 B]
FingerMatch.cpp [3.1 KB]
stdafx.h [1.0 KB]
FPA.H [3.9 KB]
stdafx.cpp [220.0 B]
指纹提取与识别系统.rc [5.6 KB]
OfflineMatch.cpp [3.1 KB]
指纹提取与识别系统.sln [947.0 B]
📁 Dll库
FPEngine.dll [621.5 KB]
FP.dll [118.5 KB]
📁 Images
8.bmp [65.1 KB]
4.bmp [65.1 KB]
5.bmp [129.0 KB]
1.bmp [65.1 KB]
7.bmp [65.1 KB]
2.bmp [65.1 KB]
6.bmp [129.0 KB]
3.bmp [65.1 KB]
说明【公众号：秘知圈】.txt [80.0 B]
📁 08_图像检索系统
📁 可执行文件
图像检索系统【公众号：秘知圈】.exe [60.5 KB]
📁 Images
1.BMP [256.1 KB]
hand10.BMP [182.1 KB]
3.BMP [256.1 KB]
5.BMP [256.1 KB]
tn0024.BMP [34.2 KB]
TM141.BMP [35.7 KB]
tn0003.BMP [34.2 KB]
leaf5.BMP [182.1 KB]
ys065.BMP [35.7 KB]
ys066.BMP [35.7 KB]
7.BMP [228.1 KB]
hand1.BMP [182.1 KB]
hand4.BMP [171.1 KB]
E1458.BMP [45.8 KB]
tn0026.BMP [34.2 KB]
ys047.BMP [35.7 KB]
ys067.BMP [35.7 KB]
tn0027.BMP [34.2 KB]
E1454.BMP [47.1 KB]
E1456.BMP [45.8 KB]
E1453.BMP [45.8 KB]
E1459.BMP [45.8 KB]
tn0023.BMP [34.2 KB]
hand13.BMP [182.1 KB]
hand2.BMP [182.1 KB]
2.BMP [256.1 KB]
TM146.BMP [35.7 KB]
leaf6.BMP [182.1 KB]
6.BMP [110.3 KB]
leaf2.BMP [182.1 KB]
tn0029.BMP [34.2 KB]
📁 源码
📁 图像检索系统
📁 res
My.rc2 [358.0 B]
图像检索系统.ico [21.1 KB]
图像检索系统.vcproj [5.4 KB]
imagetrievalDlg.h [2.4 KB]
stdafx.cpp [143.0 B]
stdafx.h [1.0 KB]
图像检索系统.rc [7.9 KB]
图像检索系统.cpp [2.1 KB]
ReadMe.txt [2.8 KB]
picture.h [150.0 B]
图像检索系统.aps [57.1 KB]
imagetrievalDlg.cpp [32.3 KB]
图像检索系统.h [1.4 KB]
Resource.h [1.7 KB]
图像检索系统.sln [924.0 B]
说明【公众号：秘知圈】.txt [172.0 B]
📁 04_图像编辑器实现
📁 可执行文件
PhotoProcess.exe [85.5 KB]
📁 Images
lena.bmp [65.1 KB]
📁 源码
📁 res
PhotoProcess.rc2 [368.0 B]
Toolbar.bmp [1.1 KB]
PhotoProcessDoc.ico [1.1 KB]
PhotoProcess.ico [21.1 KB]
FogDlg.cpp [3.5 KB]
PhotoProcess.aps [52.2 KB]
FogDlg.h [702.0 B]
SharpenProcessDib.h [832.0 B]
PhotoProcess.cpp [2.9 KB]
MainFrm.cpp [1.8 KB]
PhotoProcessDoc.cpp [1.1 KB]
HistogramDib.cpp [6.8 KB]
PhotoProcess.sln [889.0 B]
PhotoProcess.rc [12.6 KB]
GrayTransformDib.h [869.0 B]
ColorEnhanceDib.h [600.0 B]
Dib.h [2.3 KB]
SmoothProcessDib.cpp [12.5 KB]
ColorEnhanceDib.cpp [1.8 KB]
ImageFilterDib.cpp [7.0 KB]
PhotoProcess.vcproj [7.1 KB]
ImageRestoreDib.h [708.0 B]
Dib.cpp [20.6 KB]
stdafx.h [1.6 KB]
ReadMe.txt [3.1 KB]
SharpenProcessDib.cpp [5.3 KB]
PhotoProcessView.h [2.3 KB]
PhotoProcessDoc.h [582.0 B]
PhotoProcess.h [508.0 B]
HistogramDib.h [806.0 B]
GrayTransformDib.cpp [6.5 KB]
PhotoProcessView.cpp [36.5 KB]
ImageRestoreDib.cpp [6.3 KB]
SmoothProcessDib.h [866.0 B]
FrequencyFilterDib.h [825.0 B]
MainFrm.h [655.0 B]
ImageFilterDib.h [855.0 B]
FrequencyFilterDib.cpp [7.1 KB]
Resource.h [2.6 KB]
stdafx.cpp [143.0 B]
📁 13_车型识别系统
📁 源码
📁 CarShapeIdentify
📁 res
Toolbar.bmp [838.0 B]
CarShapeIdentify.ico [21.1 KB]
CarShapeIdentify.rc2 [372.0 B]
CarShapeIdentifyDoc.ico [1.1 KB]
📁 contour
0.bmp [148.5 KB]
2.bmp [202.8 KB]
1.bmp [286.7 KB]
3.bmp [466.4 KB]
1(1).bmp [286.7 KB]
CarShapeIdentify.vcproj [6.1 KB]
MyImg.h [162.0 B]
MainFrm.cpp [1.8 KB]
CarShapeIdentify.cpp [3.3 KB]
MyImg.cpp [164.0 B]
stdafx.cpp [147.0 B]
resource.h [1.4 KB]
CarShapeIdentify.aps [66.7 KB]
stdafx.h [1.8 KB]
CarShapeIdentifyView.h [1.1 KB]
CarShapeIdentifyDoc.h [1.1 KB]
CarShapeIdentifyView.cpp [2.2 KB]
targetver.h [1.0 KB]
MainFrm.h [655.0 B]
CarShapeIdentify.rc [11.2 KB]
CarShapeIdentify.h [536.0 B]
CarShapeIdentifyDoc.cpp [8.7 KB]
ReadMe.txt [3.6 KB]
CarShapeIdentify.sln [914.0 B]
📁 可执行文件
📁 contour
0.bmp [148.5 KB]
3.bmp [466.4 KB]
1.bmp [286.7 KB]
2.bmp [202.8 KB]
cxcore210.dll [2.1 MB]
ml210.dll [397.0 KB]
cv210.dll [2.0 MB]
highgui210.dll [762.5 KB]
cvaux210.dll [1.0 MB]
CarShapeIdentify.exe [53.0 KB]
📁 Images
前景图像.bmp [900.1 KB]
背景图像.bmp [900.1 KB]
说明.txt [244.0 B]
📁 14_车牌识别系统
📁 可执行文件
📁 template
U.bmp [1.8 KB]
0.bmp [1.8 KB]
湘.bmp [1.8 KB]
W.bmp [1.8 KB]
X.bmp [1.8 KB]
7.bmp [1.8 KB]
6.bmp [1.8 KB]
V.bmp [1.8 KB]
9.bmp [1.8 KB]
J.bmp [1.8 KB]
P.bmp [1.8 KB]
粤.bmp [1.8 KB]
G.bmp [1.8 KB]
A.bmp [1.8 KB]
B.bmp [1.8 KB]
5.bmp [1.8 KB]
E.bmp [1.8 KB]
1.bmp [1.8 KB]
F.bmp [1.8 KB]
京.bmp [1.8 KB]
4.bmp [1.8 KB]
川.bmp [1.8 KB]
M.bmp [1.8 KB]
T.bmp [1.8 KB]
辽.bmp [1.8 KB]
D.bmp [1.8 KB]
黑.bmp [1.8 KB]
K.bmp [1.8 KB]
C.bmp [1.8 KB]
H.bmp [1.8 KB]
琼.bmp [1.8 KB]
N.bmp [1.8 KB]
Y.bmp [1.8 KB]
L.bmp [1.8 KB]
R.bmp [1.8 KB]
S.bmp [1.8 KB]
2.bmp [1.8 KB]
3.bmp [1.8 KB]
Z.bmp [1.8 KB]
Q.bmp [1.8 KB]
8.bmp [1.8 KB]
鄂.bmp [1.8 KB]
浙.bmp [1.8 KB]
ml210.dll [397.0 KB]
highgui210.dll [762.5 KB]
cvaux210.dll [1.0 MB]
cv210.dll [2.0 MB]
cxcore210.dll [2.1 MB]
PlateIdentify.exe [517.5 KB]
📁 源码
📁 PlateIdentify
📁 template
3.bmp [1.8 KB]
9.bmp [1.8 KB]
Q.bmp [1.8 KB]
川.bmp [1.8 KB]
P.bmp [1.8 KB]
6.bmp [1.8 KB]
T.bmp [1.8 KB]
L.bmp [1.8 KB]
D.bmp [1.8 KB]
Z.bmp [1.8 KB]
K.bmp [1.8 KB]
W.bmp [1.8 KB]
7.bmp [1.8 KB]
2.bmp [1.8 KB]
浙.bmp [1.8 KB]
S.bmp [1.8 KB]
琼.bmp [1.8 KB]
5.bmp [1.8 KB]
H.bmp [1.8 KB]
8.bmp [1.8 KB]
A.bmp [1.8 KB]
X.bmp [1.8 KB]
4.bmp [1.8 KB]
V.bmp [1.8 KB]
粤.bmp [1.8 KB]
湘.bmp [1.8 KB]
M.bmp [1.8 KB]
F.bmp [1.8 KB]
C.bmp [1.8 KB]
B.bmp [1.8 KB]
辽.bmp [1.8 KB]
U.bmp [1.8 KB]
黑.bmp [1.8 KB]
鄂.bmp [1.8 KB]
1.bmp [1.8 KB]
E.bmp [1.8 KB]
N.bmp [1.8 KB]
0.bmp [1.8 KB]
京.bmp [1.8 KB]
R.bmp [1.8 KB]
Y.bmp [1.8 KB]
G.bmp [1.8 KB]
J.bmp [1.8 KB]
📁 res
PlateIdentifyDoc.ico [1.1 KB]
PlateIdentify.rc2 [369.0 B]
Toolbar.bmp [1.1 KB]
PlateIdentify.ico [21.1 KB]
PlateIdentifyDoc.h [1.5 KB]
PlateIdentify.aps [66.1 KB]
Imagethin.cpp [8.8 KB]
lutshrink.h [3.6 KB]
PlateIdentifyView.h [1.0 KB]
PlateIdentify.vcproj [6.6 KB]
PlateIdentify.h [515.0 B]
Classification.cpp [4.7 KB]
stdafx.cpp [144.0 B]
lutthin.h [2.0 KB]
ImageFUNC.cpp [3.6 KB]
MyImg.h [162.0 B]
resource.h [1.0 KB]
Classification.h [240.0 B]
ReadMe.txt [3.5 KB]
stdafx.h [1.8 KB]
MainFrm.h [680.0 B]
ImageFUNC.h [455.0 B]
PlateIdentifyDoc.cpp [22.8 KB]
PlateIdentifyView.cpp [2.2 KB]
Imagethin.h [1.1 KB]
PlateIdentify.rc [11.4 KB]
MainFrm.cpp [1.8 KB]
MyImg.cpp [164.0 B]
targetver.h [1.0 KB]
PlateIdentify.cpp [3.3 KB]
PlateIdentify.sln [905.0 B]
📁 Images
黑A00001.bmp [358.1 KB]
说明.txt [320.0 B]
📁 02_绘图板
📁 可执行文件
MFC绘图版【公众号：秘知圈】.exe [160.5 KB]
📁 源码
📁 res
Toolbar.bmp [1.3 KB]
toolbar1.bmp [1.1 KB]
MFC绘图版.rc2 [401.0 B]
MFC绘图版.ico [1.1 KB]
MFC绘图版Doc.ico [1.1 KB]
MFC绘图版Doc.opt [47.5 KB]
MFC绘图版.opt [48.5 KB]
MainFrm.cpp [3.2 KB]
StdAfx.h [1.0 KB]
MFC绘图版.clw [3.9 KB]
StdAfx.cpp [211.0 B]
Graph.cpp [3.5 KB]
MFC绘图版Doc.plg [1.1 KB]
MFC绘图版Doc.ncb [33.0 KB]
Graph.h [1.2 KB]
MFC绘图版View.ncb [33.0 KB]
MainFrm.h [1.5 KB]
MFC绘图版.vcxproj [12.1 KB]
MFC绘图版.sln [889.0 B]
MFC绘图版.plg [7.4 KB]
SettingDlg.cpp [1.2 KB]
MFC绘图版.dsw [543.0 B]
MFC绘图版Doc.cpp [3.2 KB]
Resource.h [2.0 KB]
MFC绘图版View.cpp [15.9 KB]
MFC绘图版.h [1.4 KB]
MFC绘图版.dsp [5.5 KB]
MFC绘图版Doc.h [1.5 KB]
MFC绘图版.vcproj [9.6 KB]
MFC绘图版View.h [4.3 KB]
MFC绘图版View.plg [2.2 KB]
Stroke.h [966.0 B]
Stroke.cpp [1.3 KB]
MFC绘图版.cpp [4.4 KB]
MFC绘图版.rc [14.3 KB]
MFC绘图版.aps [504.2 KB]
SettingDlg.h [1006.0 B]
MFC绘图版View.opt [47.5 KB]
📁 05_CT图像重建系统
📁 Data
📁 headsq
quarter.80 [8.0 KB]
quarter.48 [8.0 KB]
quarter.90 [8.0 KB]
quarter.14 [8.0 KB]
quarter.57 [8.0 KB]
quarter.89 [8.0 KB]
quarter.43 [8.0 KB]
quarter.5 [8.0 KB]
quarter.21 [8.0 KB]
quarter.83 [8.0 KB]
quarter.37 [8.0 KB]
quarter.39 [8.0 KB]
quarter.40 [8.0 KB]
quarter.34 [8.0 KB]
quarter.58 [8.0 KB]
quarter.10 [8.0 KB]
quarter.45 [8.0 KB]
quarter.85 [8.0 KB]
quarter.27 [8.0 KB]
quarter.59 [8.0 KB]
quarter.81 [8.0 KB]
quarter.9 [8.0 KB]
quarter.72 [8.0 KB]
quarter.78 [8.0 KB]
quarter.52 [8.0 KB]
quarter.35 [8.0 KB]
quarter.44 [8.0 KB]
quarter.73 [8.0 KB]
quarter.76 [8.0 KB]
quarter.7 [8.0 KB]
quarter.65 [8.0 KB]
quarter.30 [8.0 KB]
quarter.33 [8.0 KB]
quarter.2 [8.0 KB]
quarter.29 [8.0 KB]
quarter.32 [8.0 KB]
quarter.12 [8.0 KB]
quarter.51 [8.0 KB]
quarter.nhdr [161.0 B]
quarter.79 [8.0 KB]
quarter.74 [8.0 KB]
quarter.54 [8.0 KB]
quarter.71 [8.0 KB]
quarter.49 [8.0 KB]
quarter.11 [8.0 KB]
quarter.18 [8.0 KB]
quarter.16 [8.0 KB]
quarter.87 [8.0 KB]
quarter.13 [8.0 KB]
quarter.63 [8.0 KB]
quarter.23 [8.0 KB]
quarter.77 [8.0 KB]
quarter.46 [8.0 KB]
quarter.50 [8.0 KB]
quarter.26 [8.0 KB]
quarter.22 [8.0 KB]
quarter.19 [8.0 KB]
quarter.28 [8.0 KB]
quarter.42 [8.0 KB]
quarter.20 [8.0 KB]
quarter.75 [8.0 KB]
quarter.55 [8.0 KB]
quarter.1 [8.0 KB]
quarter.84 [8.0 KB]
quarter.60 [8.0 KB]
quarter.53 [8.0 KB]
quarter.41 [8.0 KB]
quarter.66 [8.0 KB]
quarter.24 [8.0 KB]
quarter.6 [8.0 KB]
quarter.8 [8.0 KB]
quarter.56 [8.0 KB]
quarter.93 [8.0 KB]
quarter.86 [8.0 KB]
quarter.88 [8.0 KB]
quarter.4 [8.0 KB]
quarter.92 [8.0 KB]
quarter.31 [8.0 KB]
quarter.91 [8.0 KB]
quarter.38 [8.0 KB]
quarter.17 [8.0 KB]
quarter.82 [8.0 KB]
quarter.36 [8.0 KB]
quarter.3 [8.0 KB]
quarter.61 [8.0 KB]
quarter.62 [8.0 KB]
quarter.69 [8.0 KB]
quarter.15 [8.0 KB]
quarter.67 [8.0 KB]
quarter.70 [8.0 KB]
quarter.47 [8.0 KB]
quarter.64 [8.0 KB]
quarter.25 [8.0 KB]
quarter.68 [8.0 KB]
📁 源码
📁 CTImageReconstruction_cone
📁 CTImageReconstruction_cone
CTImageReconstructioncone.cpp [1.6 KB]
CTImageReconstructioncone.vcproj [4.3 KB]
CTImageReconstructioncone.sln [944.0 B]
📁 CTImageReconstruction_brain
📁 CTImageReconstruction_brain
📁 Debug
vtkzlib(1).dll [116.5 KB]
vtkjpeg.dll [209.0 KB]
vtkGeovis.dll [754.5 KB]
vtktiff(1).dll [492.0 KB]
vtkNetCDFcxx.dll [148.0 KB]
vtkalglib.dll [138.5 KB]
CTImageReconstructionbrain.ilk [442.4 KB]
vtkpng.dll [213.0 KB]
vtkexoIIc.dll [603.5 KB]
vtkViews.dll [1.0 MB]
vtkInfovis(1).dll [4.4 MB]
vtkFiltering.dll [6.1 MB]
vtkCommon.dll [4.7 MB]
vtkexpat.dll [208.5 KB]
vtkzlib.dll [116.5 KB]
vtkWidgets.dll [3.1 MB]
vtkCharts.dll [1.6 MB]
vtkhdf5.dll [4.5 MB]
vtkHybrid.dll [5.1 MB]
vtkGenericFiltering(1).dll [391.5 KB]
vtklibxml2.dll [1.7 MB]
vtkproj4.dll [303.5 KB]
vtkGraphics.dll [12.1 MB]
vtkImaging.dll [5.7 MB]
vtktiff.dll [492.0 KB]
vtkRendering.dll [8.1 MB]
CTImageReconstructionbrain.exe [44.5 KB]
CTImageReconstructionbrain.pdb [803.0 KB]
vtkIO(1).dll [9.5 MB]
vtkexoIIc(1).dll [603.5 KB]
vtkHybrid(1).dll [5.1 MB]
vtkImaging(1).dll [5.7 MB]
vtkverdict(1).dll [234.0 KB]
vtkIO.dll [9.5 MB]
vtkViews(1).dll [1.0 MB]
vtkjpeg(1).dll [209.0 KB]
vtkmetaio.dll [1.2 MB]
vtkhdf5(1).dll [4.5 MB]
vtkGraphics(1).dll [12.1 MB]
vtkpng(1).dll [213.0 KB]
vtkfreetype(1).dll [665.5 KB]
vtkCommon(1).dll [4.7 MB]
vtkftgl(1).dll [89.5 KB]
vtksys(1).dll [632.0 KB]
vtkVolumeRendering.dll [6.2 MB]
vtkftgl.dll [89.5 KB]
vtkVolumeRendering(1).dll [6.2 MB]
vtklibxml2(1).dll [1.7 MB]
vtkNetCDFcxx(1).dll [148.0 KB]
vtkNetCDF.dll [864.0 KB]
vtkfreetype.dll [665.5 KB]
vtkGenericFiltering.dll [391.5 KB]
vtkmetaio(1).dll [1.2 MB]
vtkInfovis.dll [4.4 MB]
vtkRendering(1).dll [8.1 MB]
vtkNetCDF(1).dll [864.0 KB]
vtksys.dll [632.0 KB]
vtkverdict.dll [234.0 KB]
vtkFiltering(1).dll [6.1 MB]
vtkGeovis(1).dll [754.5 KB]
vtkWidgets(1).dll [3.1 MB]
vtkproj4(1).dll [303.5 KB]
vtkMFC.dll [62.0 KB]
vtkDICOMParser.dll [424.5 KB]
vtkMFC(1).dll [62.0 KB]
CTImageReconstructionbrain.cpp [6.0 KB]
CTImageReconstructionbrain.vcproj [4.4 KB]
CTImageReconstructionbrain.sln [947.0 B]
说明.txt [59.0 B]
📁 09_细胞检测与计数系统
📁 Images
blood.bmp [1.3 MB]
📁 可执行文件
细胞检测与计数系统.exe [71.0 KB]
📁 源码
📁 细胞检测与计数系统
📁 res
细胞检测与计数系统.ico [1.1 KB]
Toolbar.bmp [1.1 KB]
My.rc2 [394.0 B]
CellDoc.cpp [1.7 KB]
细胞检测与计数系统.aps [50.1 KB]
细胞检测与计数系统.cpp [4.1 KB]
MainFrm.h [1.5 KB]
RTH.cpp [1.5 KB]
MainFrm.cpp [2.6 KB]
细胞检测与计数系统.rc [14.8 KB]
RTH.h [374.0 B]
CellView.h [3.6 KB]
Pre.cpp [1.0 KB]
ThrHsi.h [1.2 KB]
stdafx.cpp [206.0 B]
细胞检测与计数系统.vcproj [6.0 KB]
targetver.h [1.4 KB]
ReadMe.txt [5.0 KB]
CellView.cpp [61.7 KB]
ThrHsi.cpp [3.2 KB]
CellDoc.h [1.4 KB]
Pre.h [1.1 KB]
Resource.h [2.4 KB]
细胞检测与计数系统.h [1.5 KB]
stdafx.h [1.0 KB]
细胞检测与计数系统.sln [951.0 B]
📁 12_运动车辆检测跟踪系统
📁 Videos
car【公众号：秘知圈】.avi [560.5 KB]
📁 源码
📁 MoveTracking
📁 res
MoveTrackingDoc.ico [1.1 KB]
MoveTracking.ico [21.1 KB]
MoveTracking.rc2 [368.0 B]
Toolbar.bmp [1.1 KB]
MoveTracking.aps [66.2 KB]
MoveTracking.h [508.0 B]
MoveTracking.rc [10.9 KB]
MoveTrackingDoc.cpp [8.7 KB]
MainFrm.h [655.0 B]
targetver.h [1.0 KB]
ReadMe.txt [3.5 KB]
MoveTracking.cpp [3.3 KB]
MoveTrackingView.h [1.0 KB]
MoveTrackingDoc.h [1.3 KB]
stdafx.cpp [143.0 B]
stdafx.h [1.8 KB]
MoveTrackingView.cpp [1.9 KB]
resource.h [872.0 B]
MainFrm.cpp [1.8 KB]
MoveTracking.vcproj [6.0 KB]
MoveTracking.sln [902.0 B]
📁 可执行文件
highgui210.dll [762.5 KB]
MoveTracking.exe [52.5 KB]
cv210.dll [2.0 MB]
ml210.dll [397.0 KB]
cxcore210.dll [2.1 MB]
cvaux210.dll [1.0 MB]
说明.txt [534.0 B]
📁 03_图片浏览器实现
📁 可执行文件
PictView.exe [307.0 KB]
📁 源码
📁 res
Toolbar.bmp [4.5 KB]
PictView.ico [1.1 KB]
PictViewDoc.ico [1.1 KB]
toolbar1.bmp [1.2 KB]
PictView.rc2 [400.0 B]
📁 Lib
CDERROR.H [5.2 KB]
JMEMSYS.H [7.8 KB]
JINCLUDE.H [3.3 KB]
JDCT.H [7.0 KB]
GIFAPI.CPP [39.7 KB]
Jmorecfg.h [12.5 KB]
IP.cpp [49.9 KB]
Dib.cpp [52.1 KB]
JPEGINT.H [15.7 KB]
JPEGLIB.H [44.5 KB]
JDHUFF.H [8.3 KB]
Gif.cpp [26.7 KB]
JERROR.H [13.2 KB]
JVERSION.H [371.0 B]
dibapi.cpp [191.9 KB]
CDJPEG.H [6.0 KB]
CqOctree.cpp [14.2 KB]
GIFAPI.H [2.9 KB]
dibapi.h [7.7 KB]
Dib.h [6.0 KB]
Jpeg.cpp [19.3 KB]
Jpeg.h [2.8 KB]
Jpeglib2.lib [233.1 KB]
JCONFIG.H [1.7 KB]
JCHUFF.H [1.3 KB]
Gif.h [4.7 KB]
PictView.sln [881.0 B]
ImageBmpConvert.cpp [7.6 KB]
PictView.plg [2.9 KB]
ClassImage.h [5.0 KB]
resource.h [2.7 KB]
PictView.clw [5.1 KB]
ClassImage.cpp [16.3 KB]
PictViewView.cpp [105.4 KB]
PictView.rc [19.9 KB]
PictViewDoc.h [1.8 KB]
StdAfx.cpp [1.6 KB]
PictView.opt [54.5 KB]
PictView.vcproj.C0.LHB.user [1.4 KB]
ReadMe.txt [4.3 KB]
PictView.h [1.4 KB]
ImagePcx.cpp [8.1 KB]
PictView.dsw [539.0 B]
MainFrm.h [2.3 KB]
PictViewView.h [7.5 KB]
PictView.vcproj [14.7 KB]
PictView.cpp [6.6 KB]
PictView.dsp [7.0 KB]
StdAfx.h [1.1 KB]
PictViewDoc.cpp [4.2 KB]
MainFrm.cpp [15.2 KB]
ImageTga.cpp [5.6 KB]
PictView.aps [42.5 KB]
ImageBmp.cpp [3.0 KB]
📁 Images
lena.bmp [65.1 KB]
📁 07_遥感图像配准系统
📁 源码
📁 遥感图像配准系统
📁 res
遥感图像配准系统.ico [21.1 KB]
遥感图像配准系统Doc.ico [1.1 KB]
Toolbar.bmp [1.1 KB]
My.rc2 [358.0 B]
DlgAftReg.cpp [5.1 KB]
ChildFrm.h [1.4 KB]
stdafx.h [1.0 KB]
DlgEnhance.h [3.1 KB]
遥感图像配准系统.h [1.3 KB]
RSIView.h [1.9 KB]
遥感图像配准系统.vcproj [6.9 KB]
targetver.h [1.0 KB]
Resource.h [8.0 KB]
ColorTable.h [63.6 KB]
遥感图像配准系统.aps [81.2 KB]
MyException.h [94.0 B]
MainFrm.h [1.5 KB]
遥感图像配准系统.rc [19.0 KB]
cdib.h [3.7 KB]
DlgReg.h [3.4 KB]
cdib.cpp [68.5 KB]
RSIDoc.h [1.6 KB]
DIBPrcs.cpp [16.7 KB]
DlgEnhance.cpp [44.7 KB]
MainFrm.cpp [2.5 KB]
ChildFrm.cpp [1.8 KB]
DlgCor.cpp [34.3 KB]
DlgReg.cpp [44.1 KB]
DibShow.cpp [7.5 KB]
DlgAftReg.h [1.5 KB]
DlgCor.h [3.2 KB]
遥感图像配准系统.cpp [4.6 KB]
RSIDoc.cpp [5.1 KB]
RSIView.cpp [5.7 KB]
ReadMe.txt [3.7 KB]
GlobalApi.h [9.0 KB]
stdafx.cpp [217.0 B]
遥感图像配准系统.sln [938.0 B]
📁 Images
10图像配准基准图像.bmp [65.1 KB]
6配准结果图像.bmp [117.1 KB]
1几何校正基准图像.bmp [65.1 KB]
2待校正图像.bmp [65.1 KB]
4校正结果图像.bmp [107.8 KB]
5增强结果图像.bmp [107.8 KB]
3待配准图像.bmp [65.1 KB]
📁 可执行文件
遥感图像配准系统.exe [147.0 KB]
说明.txt [1.1 KB]
📁 10 OpenCV计算机视觉实战(Python版)（课件+源码）
1-10【公众号：秘知圈】.rar [506.3 MB]
11-21.rar [979.8 MB]
📁 15 工具箱
📁 3.4
opencv-3.4.1-vc14vc15【公众号：秘知圈】.exe [171.9 MB]
📁 4.0
opencvcontrib-4.0.0.zip [58.6 MB]
opencv4.0.0.zip [86.8 MB]
OpenCV下载地址【公众号：秘知圈】.txt [199.0 B]
📁 11 OpenCV & FFmpeg & Qt C++视频编辑器实战开发
📁 03 OpenCV图像处理
016 RGBYUVGRAY像素格式介绍opencv像素格式转换cvtColor接口讲解~1【公众号：秘知圈】.mp4 [7.3 MB]
023 高斯金字塔和拉普拉斯金字塔调整图像尺寸详解~1.mp4 [15.7 MB]
019 通过对Mat遍历修改图像亮度和对比度与convertTo性能对比~1.mp4 [22.1 MB]
018 通过OpenCV阈值函数threshold实现图像的二值化~1.mp4 [12.9 MB]
024 实现两幅图像混合blending~1.mp4 [11.1 MB]
020 图像尺寸调整算法介绍并手动实现近邻算法~1.mp4 [10.9 MB]
026 通过ROI实现图像并排合并~1.mp4 [20.6 MB]
022 图像尺寸调整双线程插值算法讲解和性能测试~1.mp4 [16.0 MB]
021 调用opencv的resize使用近邻算法并与自定义算法比较~1.mp4 [21.1 MB]
015 通过ROI感兴趣区域来裁剪图像~1.mp4 [9.8 MB]
017 手动实现转换灰度图并与opencv提供的函数做性能对比~1.mp4 [23.0 MB]
025 图像旋转和镜像~1.mp4 [8.7 MB]
📁 06 XVideoEdit视频编辑器实战
📁 attached_files
📁 058 通过图像金字塔调整视频尺寸
7XVideoEdit【公众号：秘知圈】.zip [44.6 KB]
📁 056 视频上下左右镜像
6XVideoEdit【公众号：秘知圈】.zip [44.0 KB]
📁 055 视频图像旋转并导出
5XVideoEdit【公众号：秘知圈】.zip [81.2 KB]
📁 059 通过ROI裁剪视频画面
8XVideoEdit【公众号：秘知圈】.zip [82.9 KB]
📁 042 完成视频编辑器播放界面并完成绘制视频widget重载
1XVideoEdit【公众号：秘知圈】.zip [11.2 KB]
📁 064 两路视频的横向合并为一个视频
12XVideoEdit【公众号：秘知圈】.zip [104.8 KB]
📁 062 视频融合1-完成了打开第二个视频源
11XVideoEdit-blend.zip [45.7 KB]
📁 048 通过QSlider滑动条拖动完成视频播放位置跳转
2XVideoEdit.zip [12.3 KB]
📁 051 调整视频亮度对比度3完成界视频结果显示
3XVideoEdit.zip [15.2 KB]
📁 068 完成了视频剪辑包含音频剪辑
14XVideoEdit-Linux.zip [19.0 KB]
📁 060 转换为灰度图视频并导出
9XVideoEdit.zip [44.8 KB]
📁 065 音频类的抽取接口开发和测试
13XVideoEdit.zip [66.7 KB]
📁 061 视频添加水印
10XVideoEdit.zip [45.2 KB]
📁 052 视频的导出1接口调用搭建和界面实现完成
4XVideoEdit.zip [15.2 KB]
045 使用opencv读取并解码视频通过信号槽机制发出绘制信号~1【公众号：秘知圈】.mp4 [20.5 MB]
061 视频添加水印~1吾爱程序猿论坛用户分享【公众号：秘知圈】.mp4 [49.1 MB]
063 视频融合2-完成了融合和导出~1【公众号：秘知圈】.mp4 [34.2 MB]
058 通过图像金字塔调整视频尺寸~1【公众号：秘知圈】.mp4 [33.1 MB]
041 实战项目环境搭建项目创建和配置~1【公众号：秘知圈】.mp4 [13.4 MB]
044 通过qt界面打开外部视频并完成打开失败的界面提示~1【公众号：秘知圈】.mp4 [33.0 MB]
067 完成了视频的开始结束位置剪辑音频未处理~1.mp4 [41.9 MB]
052 视频的导出1接口调用搭建和界面实现完成~1.mp4 [26.9 MB]
048 通过QSlider滑动条拖动完成视频播放位置跳转~1.mp4 [29.2 MB]
062 视频融合1-完成了打开第二个视频源~1.mp4 [30.6 MB]
046 解码并使用播放视频分析并解决QImage图像数据不连续问题~1.mp4 [48.6 MB]
056 视频上下左右镜像~1吾爱程序猿论坛用户分享.mp4 [13.8 MB]
050 调整视频亮度对比度2完成XFilter类~1.mp4 [23.2 MB]
042 完成视频编辑器播放界面并完成绘制视频widget重载~1.mp4 [20.0 MB]
066 完成视频中音频的的合并导出~1.mp4 [33.5 MB]
047 视频播放器进度条QSlider显示播放进度~1.mp4 [25.8 MB]
038 编辑器的需求分析和最终实现的功能介绍~1.mp4 [18.7 MB]
059 通过ROI裁剪视频画面~1.mp4 [35.3 MB]
051 调整视频亮度对比度3完成界视频结果显示~1.mp4 [36.7 MB]
064 两路视频的横向合并为一个视频~1.mp4 [39.7 MB]
054 完成播放暂停并使用qss设置播放暂停按钮样式效果~1.mp4 [28.3 MB]
065 音频类的抽取接口开发和测试~1.mp4 [22.4 MB]
055 视频图像旋转并导出~1吾爱程序猿论坛用户分享.mp4 [29.9 MB]
060 转换为灰度图视频并导出~1.mp4 [39.0 MB]
040 基于QT系统界面设计详解~1.mp4 [6.8 MB]
049 调整视频亮度对比度1完成XImagePro类~1.mp4 [19.5 MB]
039 项目类图介绍和类功能讲解~1.mp4 [6.8 MB]
057 调整视频尺寸并导出~1.mp4 [23.8 MB]
053 视频导出2功能实现~1吾爱程序猿论坛用户分享.mp4 [44.0 MB]
043 详解通过qss完成界面风格设置设置按钮圆角和渐变颜色~1.mp4 [8.8 MB]
068 完成了视频剪辑包含音频剪辑~1.mp4 [29.6 MB]
📁 05 OpenCV视频IO接口
037 以h264格式录制并预览摄像机视频代码演示~1【公众号：秘知圈】.mp4 [19.0 MB]
031 OpenCV read读取一帧视频接口讲解和源码分析~1【公众号：秘知圈】.mp4 [12.3 MB]
029 OpenCV VideoCapture打开视频流接口讲解和源码分析~1【公众号：秘知圈】.mp4 [12.2 MB]
028 OpenCV VideoCapture打开摄像头接口讲解和源码分析~1【公众号：秘知圈】.mp4 [10.1 MB]
030 VideoCapture release关闭和空间释放源码分析~1.mp4 [5.6 MB]
036 通过VideoWrite的write写入视频文件并分析源码~1.mp4 [14.7 MB]
035 通过VideoWrite的open创建视频文件并分析源码~1.mp4 [25.5 MB]
033 获取视频和相机的属性并分析获取视频属性的源码~1.mp4 [19.3 MB]
032 使用OpenCV VideoCapture播放视频示例~1.mp4 [18.9 MB]
034 使用opencv实现视频播放位置跳转~1.mp4 [14.0 MB]
📁 02 OpenCV核心类型 Mat
📁 attached_files
📁 007 OpenCV Mat类型分析源码介绍空间创建和释放
-src-1.rar [10.3 MB]
009 使用opencv接口实现运行记时函数用来分析执行效率~1【公众号：秘知圈】.mp4 [11.9 MB]
012 通过OpenCV at函数遍历Mat并捕获异常~1【公众号：秘知圈】.mp4 [11.7 MB]
010 遍历不连续的OpenCV Mat空间~1.mp4 [8.1 MB]
008 遍历和修改连续的OpenCV Mat图像空间~1.mp4 [14.5 MB]
014 QT自定义opengl的Widget绘制Mat~1.mp4 [27.7 MB]
011 通过OpenCV ptr模板函数遍历Mat并测试其性能~1.mp4 [11.6 MB]
007 OpenCV Mat类型分析源码介绍空间创建和释放~1.mp4 [13.3 MB]
013 通过迭代器遍历Mat并总结遍历方法~1.mp4 [7.5 MB]
📁 01 介绍
📁 attached_files
📁 006 windows 上创建opencv示例项目编译并执行
01-windows-linux-1.zip [47.2 MB]
📁 002 opencv源码在windows下载编译安装
opencv3.2Linux.txt.zip [1023.0 B]
002 opencv源码在windows下载编译安装~1【公众号：秘知圈】.mp4 [10.9 MB]
001 介绍~1【公众号：秘知圈】.mp4 [22.0 MB]
005 ubuntu上创建opencv示例项目makefile编译并执行~1【公众号：秘知圈】.mp4 [8.9 MB]
006 windows 上创建opencv示例项目编译并执行~1.mp4 [17.4 MB]
003 Ubuntu下编译opencv源码~1.mp4 [14.8 MB]
004 windows 上创建opencv示例项目编译并执行~1.mp4 [16.2 MB]
📁 04 FFMpeg工具处理音频
027 使用ffmpeg工具实现音频抽取剪切和与视频合并~1.mp4 [17.3 MB]
📁 13 附赠1：Opencv资料
学习opencv书——源代码【公众号：秘知圈】.zip [20.2 MB]
Mastering OpenCV with Practical Computer Vision Projects [eBook]【公众号：秘知圈】.pdf [6.3 MB]
机器视觉算法与应用【公众号：秘知圈】.pdf [109.2 MB]
图像处理、分析与机器视觉（第三版）【公众号：秘知圈】.pdf [76.5 MB]
图像处理与计算机视觉算法及应用 原书第2版 [（美）帕科尔著][清华大学出版社][2012.05][388页]sample【公众号：秘知圈】.pdf [6.2 MB]
OpenCV.2.Computer.Vision.Application.Programming.Cookbook【公众号：秘知圈】.pdf [6.8 MB]
opencv2计算机视觉编程手册( 扫描版1-35页).pdf [68.3 MB]
计算机视觉：算法与应用(Richard Szeliski-2010).pdf [22.1 MB]
计算机视觉（马颂德、张正友）.pdf [13.6 MB]
图像处理技术手册.pdf [145.1 MB]
视觉计算理论.pdf [21.3 MB]
OpenCV教程基础篇-于仕琪-北航.pdf [23.8 MB]
数字图像处理与机器视觉――Visual C++与Matlab....iso [78.3 MB]
opencv2手册第五章.pdf [51.7 MB]
机器视觉-张广军.pdf [48.8 MB]
计算机视觉——算法与应用.pdf [48.4 MB]
OpenCV2ComputerVisionApplicationProgrammingCookbookCode.zip [116.7 KB]
[数字图像处理与机器视觉：Visual.C++.与Matlab实现].张铮.扫描版.pdf [50.6 MB]
AComputationalApproachtoEdgeDetection-sz4.pdf [6.3 MB]
图像处理、分析与机器视觉（第三版）英文版.pdf [28.0 MB]
OpenCV的计算机视觉技术实现.rar [13.6 MB]
Computer and Machine Vision Theory Algorithms Practicalities.pdf [22.2 MB]
机器视觉测量技术.pdf [2.8 MB]
图像处理分析与机器视觉(第二版)中译.pdf [41.0 MB]
Learning OpenCV 2nd Early Release.pdf [10.9 MB]
基于OpenCV的计算机视觉技术实现.pdf [186.1 MB]
学习OpenCV 中文版.pdf [58.8 MB]
opencv手册.chm [2.6 MB]
📁 14 附赠2：赠送不同环境下安装不同版本的opencv
win+OpenCV 4.0+Python3.6开发环境搭建【公众号：秘知圈】.flv [113.7 MB]
visualstudiocommunity2017version15.3.exe [1.0 MB]
5分钟配置好OpenCV3.2+VS2015开发环境.flv [20.1 MB]
win 系统 Visual Studio 2017安装及使用教程.flv [38.5 MB]
win+opencv3.3+VS2017环境配置指导.flv [194.0 MB]
📁 12 深度学习CNN RNN等框架
📁 第7课 RNN介绍
5月班第7课课件rnnintrduction【公众号：秘知圈】.pdf [8.5 MB]
第7课 RNN介绍.avi [362.9 MB]
📁 第10课 更多框架
5月班第10课framework【公众号：秘知圈】.pdf [22.0 MB]
第10课 更多框架【公众号：秘知圈】.avi [429.4 MB]
📁 第2课 高效计算基础与图像线性分类器
第2课 高效计算基础与图像线性分类器【公众号：秘知圈】.avi [677.9 MB]
image linear classification.zip [163.6 MB]
5月班第2课课件：高效计算基础与图像线性分类器.pdf [32.9 MB]
numpyoperations.ipynb [207.4 KB]
📁 第9课 更多的网络类型
5月班第9次课课件moreaboutnn【公众号：秘知圈】.pdf [4.2 MB]
第9课 更多的网络类型.avi [483.7 MB]
📁 第1课 机器学习中数学基础
五月班第一次课件：机器学习中数学基础 (1).pdf [1.3 MB]
第1课 机器学习中数学基础.avi [609.4 MB]
📁 第5课 CNN训练注意事项与框架使用
第5课 CNN训练注意事项与框架使用.avi [743.3 MB]
5月班第5次课 - caffe TensorFlow使用与CNN训练注意事项.pdf [17.5 MB]
📁 第8课 RNN应用
5月班第8课rnnappliacation.pdf [22.5 MB]
第8课 RNN应用.avi [531.1 MB]
📁 第4课 CNN与常用框架
第4课 CNN与常用框架.avi [650.8 MB]
5月深度学习班第4课--CNN，典型网络结构与常用框架.pdf [7.0 MB]
📁 第3课 梯度下降法与反向传播
5月班第3课课件：梯度下降法与反向传播 (1).pdf [1.1 MB]
第3课 梯度下降法与反向传播.avi [438.7 MB]
📁 第6课 CNN推展案例
5月班第6次课 - CNN扩展 图像识别与定位 物体检测 NeuralStyle.pdf [48.3 MB]
第6课 CNN推展案例.avi [662.6 MB]
学习前请先查看.zip [1.8 MB]
00 如果没有声音或者卡顿，下载到电脑看即可【公众号：秘知圈】.txt
📁 《OpenCV3编程入门》书本配套源代码
OpenCV3编程入门【公众号：秘知圈】.pdf [82.3 MB]
【OpenCV3版】《OpenCV3编程入门》书本配套源代码.rar [24.3 MB]
资料更新与获取方式.png [493.5 KB]
📁 07_自然语言处理+GPT-V5.X版-13天-AI版
📁 day05
课程相关资源.png [493.5 KB]
05-RNN模型训练代码的实现--前半部分【公众号：秘知圈】.mp4 [105.2 MB]
01-昨日内容总结【公众号：秘知圈】.mp4 [49.6 MB]
03-LSTM模型的搭建和测试【公众号：秘知圈】.mp4 [45.5 MB]
08-保存模型训练结果到文件【公众号：秘知圈】.mp4 [77.8 MB]
06-RNN模型训练代码的实现--后半部分.mp4 [93.0 MB]
11-LSTM+GRU模型预测.mp4 [33.2 MB]
02-RNN模型的搭建和测试.mp4 [130.7 MB]
07-LSTM模型的训练代码的实现.mp4 [47.0 MB]
10-RNN模型预测结果.mp4 [106.3 MB]
12-今日内容总结.mp4 [44.8 MB]
04-GRU模型的搭建和测试.mp4 [20.0 MB]
09-模型结果的图形化展示.mp4 [92.6 MB]
📁 day06
课程相关资源.png [493.5 KB]
14-注意力机制实现代码的讲解【公众号：秘知圈】.mp4 [65.4 MB]
05-带Attention的Encoder2Decoder框架解析.mp4 [56.9 MB]
17-今日内容总结.mp4 [35.0 MB]
13-注意力的作用和计算步骤.mp4 [39.7 MB]
18-seq2seq英译法案例分析.mp4 [13.4 MB]
03-深度学习注意力机制介绍.mp4 [48.4 MB]
06-注意力概率分布的计算方式.mp4 [30.1 MB]
02-seq2seq文本翻译过程解析.mp4 [67.4 MB]
09-seq2seq框架加入attention计算过程解释.mp4 [55.7 MB]
01-昨日内容回顾.mp4 [44.9 MB]
15-注意力机制代码的实现.mp4 [75.3 MB]
07-softAttention的讲解.mp4 [43.1 MB]
10-pytorch版本的attention计算过程.mp4 [59.2 MB]
04-不带Attention的Encoder2Decoder框架解析.mp4 [40.3 MB]
16-注意力机制实现扩展.mp4 [42.5 MB]
08-hardAttention和softAttention的介绍.mp4 [28.9 MB]
11-注意力计算规则.mp4 [33.8 MB]
12-三维矩阵乘法解析.mp4 [49.2 MB]
📁 day09
08-注意力机制代码的实现【公众号：秘知圈】.mp4 [79.1 MB]
02-位置编码代码分析【公众号：秘知圈】.mp4 [79.7 MB]
06-注意力机制代码的分析【公众号：秘知圈】.mp4 [94.3 MB]
05-下三角矩阵的代码实现【公众号：秘知圈】.mp4 [57.8 MB]
10-多头注意力机制代码实现的思路分析.mp4 [108.5 MB]
03-位置编码器的代码实现.mp4 [47.4 MB]
07-mask机制的讲解.mp4 [40.6 MB]
12-前馈全连接层代码的实现.mp4 [49.3 MB]
09-多头注意力的思想.mp4 [69.0 MB]
15-LayerNorm和BatchNorm的区别.mp4 [13.6 MB]
01-昨日内容回顾.mp4 [29.1 MB]
13-规范化层代码的分析.mp4 [35.8 MB]
11-多头注意力机制代码的实现.mp4 [106.0 MB]
16-今日内容总结.mp4 [30.6 MB]
04-三角函数位置编码的图形化展示.mp4 [53.0 MB]
14-规范化层代码的实现.mp4 [27.9 MB]
📁 day08
08-模型测试函数代码实现【公众号：秘知圈】.mp4 [133.0 MB]
13-输入部分Embedding代码的实现【公众号：秘知圈】.mp4 [43.1 MB]
14-三角函数位置编码解析.mp4 [79.2 MB]
02-模型训练函数前半部分.mp4 [91.7 MB]
12-transformer模型架构.mp4 [59.5 MB]
03-模型内部训练函数前半部分.mp4 [65.3 MB]
06-模型评估函数代码分析.mp4 [67.8 MB]
07-模型测试函数实现.mp4 [71.2 MB]
15-位置编码代码分析.mp4 [96.7 MB]
01-昨日内容回顾.mp4 [39.2 MB]
09-模型评估函数.mp4 [38.6 MB]
11-transformer背景介绍.mp4 [18.1 MB]
04-模型内部训练函数后半部分.mp4 [73.7 MB]
10-注意力绘图.mp4 [61.4 MB]
05-模型训练函数后半部分.mp4 [69.1 MB]
📁 day04
08-RNN人名分类案例介绍【公众号：秘知圈】.mp4 [54.5 MB]
04-Bi-LSTM模型原理【公众号：秘知圈】.mp4 [38.3 MB]
01-昨日内容回顾.mp4 [64.6 MB]
09-RNN人名分类导入第三方工具.mp4 [37.5 MB]
02-LSTM模型内部结构分析.mp4 [62.3 MB]
07-GRU模型代码的实现.mp4 [29.5 MB]
03-LSTM模型内部结构源代码分析.mp4 [23.2 MB]
10-将文本数据读取到内存中.mp4 [55.6 MB]
12-实例化dataloader对象.mp4 [56.0 MB]
06-GRU模型架构原理解析.mp4 [45.5 MB]
11-构建Dataset数据源对象.mp4 [97.8 MB]
05-LSTM模型代码的实现.mp4 [84.8 MB]
13-今日内容总结.mp4 [19.2 MB]
📁 day07
09-基于GRU的无Attention的解码器代码分析【公众号：秘知圈】.mp4 [78.6 MB]
10-基于GRU的无Attention的代码实现和测试【公众号：秘知圈】.mp4 [91.2 MB]
07-Dataloader类的实现.mp4 [36.1 MB]
03-数据清洗函数定义.mp4 [52.7 MB]
05-getdata函数获取英文和法文词典.mp4 [65.8 MB]
06-Dataset类的实现.mp4 [62.4 MB]
12-基于GRU解码器代码的再次分析.mp4 [47.6 MB]
02-英译法案例基本介绍.mp4 [104.1 MB]
04-getdata函数获取mypairs对.mp4 [62.1 MB]
01-昨日内容回顾.mp4 [48.5 MB]
11-基于GRU的带Attention的代码分析.mp4 [122.2 MB]
13-模型训练代码的分析.mp4 [151.5 MB]
08-基于GRU的编码器代码实现.mp4 [59.2 MB]
📁 day02
05-nn.Embedding代码分析【公众号：秘知圈】.mp4 [40.9 MB]
02-skipgram的讲解【公众号：秘知圈】.mp4 [36.5 MB]
06-nn.Embedding的代码实现【公众号：秘知圈】.mp4 [147.8 MB]
12-今日内容总结【公众号：秘知圈】.mp4 [20.8 MB]
09-句子长度分布统计.mp4 [93.7 MB]
04-nn.Embedding和word2vec区别.mp4 [10.3 MB]
01-昨日内容回顾.mp4 [49.6 MB]
10-长度分布散点图.mp4 [36.6 MB]
03-fasttext训练词向量进阶.mp4 [55.8 MB]
03-fasttext训练词向量基础.mp4 [84.4 MB]
07-从Embedding中获取某个词的词向量.mp4 [54.4 MB]
11-词频统计代码实现.mp4 [39.4 MB]
08-标签数量统计分布.mp4 [57.9 MB]
📁 day13
17-GPT模型的介绍【公众号：秘知圈】.mp4 [44.8 MB]
05-中文句子关系构建dataset对象【公众号：秘知圈】.mp4 [67.8 MB]
07-中文句子关系模型训练【公众号：秘知圈】.mp4 [36.8 MB]
14-Roberta模型的介绍【公众号：秘知圈】.mp4 [22.6 MB]
06-中文句子关系构建自定义函数【公众号：秘知圈】.mp4 [53.5 MB]
11-BERT模型的优缺点【公众号：秘知圈】.mp4 [29.6 MB]
03-中文完型填空模型训练.mp4 [37.8 MB]
16-ELMO模型的介绍.mp4 [50.1 MB]
18-BERTGPTELMO的对比.mp4 [11.4 MB]
04-中文完型填空模型预测.mp4 [31.8 MB]
10-BERT模型的预训练任务.mp4 [38.1 MB]
15-MacBERT和SpanBERT的介绍.mp4 [31.9 MB]
19-今日内容总结.mp4 [101.8 MB]
02-中文完型填空构建模型.mp4 [50.3 MB]
12-BERT模型的特点.mp4 [16.1 MB]
01-中文完型填空数据预处理.mp4 [109.9 MB]
08-中文句子关系模型完结.mp4 [36.7 MB]
09-BERT模型的架构.mp4 [76.1 MB]
13-AlBERT模型的介绍.mp4 [46.6 MB]
📁 day10
12-fasttext工具的介绍【公众号：秘知圈】.mp4 [20.5 MB]
14-层次softmax进行模型训练的原理【公众号：秘知圈】.mp4 [41.8 MB]
06-解码器的代码实现【公众号：秘知圈】.mp4 [30.1 MB]
10-EncoderDecoder模型实例化代码分析.mp4 [38.3 MB]
05-解码器层代码的测试.mp4 [48.8 MB]
11-transformer模型架构的实现和测试.mp4 [80.2 MB]
07-输出部分代码的实现.mp4 [22.3 MB]
04-解码器层代码的实现.mp4 [71.1 MB]
16-今日内容总结.mp4 [22.5 MB]
09-EncoderDecoder架构代码实现.mp4 [84.2 MB]
01-编码器子层连接结构实现.mp4 [99.3 MB]
03-编码器代码的实现.mp4 [32.2 MB]
13-层次softmax的哈夫曼树的构建.mp4 [57.4 MB]
08-transformer模型架构代码分析.mp4 [37.6 MB]
15-负采样优化算法原理.mp4 [29.9 MB]
02-编码器层代码的实现.mp4 [56.6 MB]
📁 day12
01-昨日内容回顾【公众号：秘知圈】.mp4 [35.2 MB]
03-AutoModel实现完形填空任务【公众号：秘知圈】.mp4 [59.3 MB]
07-具体模型实现完形填空任务【公众号：秘知圈】.mp4 [39.7 MB]
09-中文分类案例数据加载【公众号：秘知圈】.mp4 [84.0 MB]
06-AutoModel实现NER任务【公众号：秘知圈】.mp4 [88.6 MB]
15-今日内容总结【公众号：秘知圈】.mp4 [54.3 MB]
04-AutoModel实现阅读理解任务【公众号：秘知圈】.mp4 [74.5 MB]
14-中文分类案例模型评估代码.mp4 [73.3 MB]
12-中文分类案例模型训练思路.mp4 [21.4 MB]
11-中文分类案例模型搭建.mp4 [68.4 MB]
10-中文分类案例自定义函数实现.mp4 [133.0 MB]
05-AutoModel实现文本摘要任务.mp4 [121.0 MB]
13-中文分类案例模型训练代码.mp4 [94.4 MB]
02-AutoModel实现特征提取任务.mp4 [95.5 MB]
08-迁移学习案例基本介绍.mp4 [57.2 MB]
📁 day01
08-jieba全模式和搜索引擎分词【公众号：秘知圈】.mp4 [43.1 MB]
12-文本张量的表示方法介绍【公众号：秘知圈】.mp4 [47.1 MB]
01-课程安排【公众号：秘知圈】.mp4 [17.3 MB]
11-NER和Pos的讲解.mp4 [37.5 MB]
03-自然语言处理入门.mp4 [75.2 MB]
02-课程内容简介.mp4 [13.6 MB]
17-今日内容总结.mp4 [17.0 MB]
07-jieba精确模式分词.mp4 [46.0 MB]
13-onehot编码的实现和训练.mp4 [86.9 MB]
15-CBOW模型的思想.mp4 [75.5 MB]
04-笔记总结.mp4 [7.9 MB]
14-onehot编码的应用.mp4 [17.8 MB]
16-CBOW推导过程思想.mp4 [42.3 MB]
06-文本分词的介绍.mp4 [24.9 MB]
10-上午内容回顾.mp4 [32.4 MB]
09-jieba繁体分词和用户自定义词典.mp4 [43.8 MB]
05-文本预处理的主要模块.mp4 [16.2 MB]
📁 day11
05-调整学习率-epoch等参数优化模型【公众号：秘知圈】.mp4 [57.4 MB]
12-transformers库使用的基本方式【公众号：秘知圈】.mp4 [45.8 MB]
16-pipeline方式实现阅读理解任务【公众号：秘知圈】.mp4 [25.7 MB]
03-fasttext实现文本分类未调优【公众号：秘知圈】.mp4 [31.9 MB]
14-pipeline方式实现特征抽取【公众号：秘知圈】.mp4 [61.3 MB]
18-pipeline方式实现NER任务.mp4 [53.8 MB]
02-fasttext文本分类数据获取和分割.mp4 [53.6 MB]
20-今日内容总结.mp4 [27.9 MB]
01-文本分类任务的介绍.mp4 [69.5 MB]
09-预训练模型的介绍.mp4 [36.6 MB]
04-数据优化后进行文本分类.mp4 [44.7 MB]
11-transformers库的使用.mp4 [30.7 MB]
07-词向量迁移介绍.mp4 [23.2 MB]
10-transformers库的基本介绍.mp4 [36.1 MB]
17-pipeline方式实现文本摘要任务.mp4 [38.5 MB]
15-pipeline方式实现完形填空.mp4 [34.5 MB]
08-迁移学习的概念.mp4 [28.0 MB]
19-automodel实现文本分类.mp4 [113.9 MB]
13-pipeline方式实现文本分类.mp4 [78.5 MB]
06-模型超参数调优.mp4 [21.1 MB]
📁 day03
08-RNN模型入门【公众号：秘知圈】.mp4 [74.5 MB]
05-实现N-Gram的代码【公众号：秘知圈】.mp4 [52.3 MB]
01-昨日内容回顾.mp4 [51.2 MB]
12-RNN模型原理解析.mp4 [37.6 MB]
03-词云展示讲解后半部分.mp4 [43.4 MB]
04-添加N-gram特征的原理.mp4 [43.0 MB]
11-RNN模型改变长度.mp4 [26.6 MB]
13-RNN模型修改层数.mp4 [45.2 MB]
10-RNN模型代码的实现--base.mp4 [83.1 MB]
02-词云展示讲解前半部分.mp4 [103.8 MB]
06-句子长短补齐和截断.mp4 [43.5 MB]
14-今日内容总结.mp4 [21.4 MB]
07-回忆数据增强方法.mp4 [25.9 MB]
09-传统RNN模型内部结构讲解.mp4 [47.5 MB]
新手必看.png [493.5 KB]
📁 09_大模型-V5.X版本【线下】-13天-AI版
📁 day13
更多课程资料领取入口.png [493.5 KB]
01-agent【公众号：秘知圈】.mp4 [100.2 MB]
02-Agent开发工具【公众号：秘知圈】.mp4 [131.4 MB]
03-内容总结.mp4 [52.7 MB]
📁 day10
重要资料查看说明.png [493.5 KB]
06-模型训练【公众号：秘知圈】.mp4 [91.4 MB]
02-配置信息.mp4 [181.6 MB]
05-工具函数.mp4 [23.6 MB]
07-模型预测.mp4 [30.7 MB]
03-数据预处理.mp4 [17.3 MB]
04-dataloader.mp4 [58.5 MB]
01-项目介绍.mp4 [89.5 MB]
📁 day03
历史合集.png [493.5 KB]
02- chatGpt的微调方法【公众号：秘知圈】.mp4 [70.3 MB]
09-提示词工程原则.mp4 [194.6 MB]
03-GLM的训练目标.mp4 [67.1 MB]
01-chatGPT的微调方法.mp4 [53.4 MB]
08-提示词工程.mp4 [11.3 MB]
04-GLM的位置编码.mp4 [18.2 MB]
06-LLaMa和Bloom.mp4 [109.1 MB]
05-GLM的特点.mp4 [109.3 MB]
07-百川大模型.mp4 [68.4 MB]
📁 day01
01-大模型背景【公众号：秘知圈】.mp4 [33.7 MB]
06-神经网络的语言模型【公众号：秘知圈】.mp4 [48.7 MB]
02-语言模型【公众号：秘知圈】.mp4 [23.8 MB]
10-AE的BERT模型【公众号：秘知圈】.mp4 [110.4 MB]
04-n-gram.mp4 [56.7 MB]
07-bleu.mp4 [65.0 MB]
08-rough.mp4 [18.8 MB]
03-语言模型的发展.mp4 [4.4 MB]
09-PPL.mp4 [53.0 MB]
📁 day04
02-文本分类提示词【公众号：秘知圈】.mp4 [77.9 MB]
03-文本分类推理【公众号：秘知圈】.mp4 [59.3 MB]
04-趋动云使用【公众号：秘知圈】.mp4 [124.7 MB]
05-文本信息抽取提示词.mp4 [84.2 MB]
06-文本信息抽取的后处理.mp4 [15.3 MB]
07-文本抽取的实现.mp4 [137.7 MB]
01-项目背景.mp4 [88.4 MB]
08-文本匹配的内容.mp4 [75.7 MB]
📁 day02
08-GPT3的网络结构【公众号：秘知圈】.mp4 [61.1 MB]
05-seq2seq【公众号：秘知圈】.mp4 [73.7 MB]
04-AR的特点【公众号：秘知圈】.mp4 [19.2 MB]
02-GPT的预训练过程【公众号：秘知圈】.mp4 [42.0 MB]
01-GPT的网络结构【公众号：秘知圈】.mp4 [55.5 MB]
06-GPT2网络和训练.mp4 [122.6 MB]
11-强化学习.mp4 [88.5 MB]
03-GPT的微调.mp4 [48.2 MB]
07-GPT2的特点.mp4 [22.5 MB]
10-GPT3的特点.mp4 [34.9 MB]
09-incontextlearning.mp4 [53.3 MB]
📁 day06
06-process实现【公众号：秘知圈】.mp4 [84.9 MB]
04-伪代码【公众号：秘知圈】.mp4 [17.4 MB]
08-dataloader【公众号：秘知圈】.mp4 [62.9 MB]
07-dataset实现【公众号：秘知圈】.mp4 [38.1 MB]
03-lora【公众号：秘知圈】.mp4 [79.8 MB]
05-项目背景和数据.mp4 [163.5 MB]
10-config.mp4 [13.7 MB]
09-模型构建.mp4 [43.3 MB]
01-prefix微调.mp4 [93.2 MB]
02-adapter.mp4 [35.9 MB]
📁 day12
10-AssistantAPI实践【公众号：秘知圈】.mp4 [73.9 MB]
01-RAG.mp4 [89.5 MB]
03-向量库构建和检索.mp4 [31.1 MB]
05-原理.mp4 [69.8 MB]
02-模型构建.mp4 [23.9 MB]
08-GPTs.mp4 [89.3 MB]
09-AssistantAPI的使用.mp4 [49.3 MB]
04-Function——Call.mp4 [38.4 MB]
07-SQL.mp4 [48.4 MB]
06-实践.mp4 [57.3 MB]
📁 day11
06-agents【公众号：秘知圈】.mp4 [54.5 MB]
07-memory.mp4 [46.5 MB]
03-嵌入模型.mp4 [33.1 MB]
04-prompts.mp4 [58.4 MB]
10-检索器.mp4 [56.5 MB]
05-chains.mp4 [46.0 MB]
01-Langchain介绍.mp4 [93.0 MB]
09-向量数据库.mp4 [27.9 MB]
02-Chat模型.mp4 [34.9 MB]
08-index.mp4 [29.0 MB]
📁 day09
07-ptuning的dataloader【公众号：秘知圈】.mp4 [15.1 MB]
03-评价指标【公众号：秘知圈】.mp4 [38.2 MB]
08-ptuning的工具函数、训练和预测【公众号：秘知圈】.mp4 [77.8 MB]
01-损失计算.mp4 [142.3 MB]
04-模型训练.mp4 [59.1 MB]
02-id转换.mp4 [48.5 MB]
05-模型预测.mp4 [21.6 MB]
06-ptuning的数据处理.mp4 [236.5 MB]
📁 day05
06-p-tuning【公众号：秘知圈】.mp4 [35.8 MB]
05-prompt tuning【公众号：秘知圈】.mp4 [69.6 MB]
04-硬模版和软模版.mp4 [28.6 MB]
08-prompt-tuning总结.mp4 [27.7 MB]
01-NLP的四范式.mp4 [127.7 MB]
07-PPL.mp4 [34.6 MB]
03-PET微调方法.mp4 [58.4 MB]
02-Prompt微调的方式.mp4 [70.4 MB]
📁 day07
02-模型训练2【公众号：秘知圈】.mp4 [144.9 MB]
09-topK和topP【公众号：秘知圈】.mp4 [43.6 MB]
06-损失函数.mp4 [36.2 MB]
01-模型训练.mp4 [161.4 MB]
07-topK 和topP.mp4 [44.2 MB]
08-模型预测.mp4 [164.1 MB]
04-模型验证.mp4 [38.4 MB]
03-模型训练2.mp4 [72.4 MB]
10-前端部署.mp4 [9.2 MB]
05-准确率计算.mp4 [64.0 MB]
📁 day08
08-标签词映射【公众号：秘知圈】.mp4 [24.8 MB]
09-主标签找子标签【公众号：秘知圈】.mp4 [68.2 MB]
03-template构建1.mp4 [129.0 MB]
10-子标签找主标签.mp4 [44.6 MB]
06-datapreprocess.mp4 [124.0 MB]
07-dataloader.mp4 [23.2 MB]
02-PET的项目架构.mp4 [49.8 MB]
01-项目背景.mp4 [25.3 MB]
05-dataset.mp4 [16.6 MB]
04-template构建2.mp4 [115.8 MB]
配套内容说明.png [493.5 KB]
📁 阶段013 赠品-亿图人脸支付项目
📁 02-人脸姿态
课程相关资源.png [493.5 KB]
06.数据集加载【公众号：秘知圈】.mp4 [45.0 MB]
04.模型预测流程【公众号：秘知圈】.mp4 [110.2 MB]
01.内容回顾.mp4 [32.5 MB]
03.模型预测.mp4 [35.2 MB]
10. 内容总结.mp4 [10.3 MB]
07.数据增强.mp4 [136.6 MB]
09.模型训练.mp4 [86.4 MB]
08.模型构建.mp4 [89.8 MB]
05.人脸姿态概述.mp4 [53.4 MB]
02.模型训练结果.mp4 [36.7 MB]
📁 03-人脸多任务(1)
02.人脸多任务【公众号：秘知圈】.mp4 [107.3 MB]
07.模型预测【公众号：秘知圈】.mp4 [41.2 MB]
04.数据增强.mp4 [28.4 MB]
11.arcface.mp4 [58.9 MB]
12.内容总结.mp4 [10.9 MB]
09.数据获取.mp4 [36.9 MB]
01.内容回顾.mp4 [15.7 MB]
10.模型构建.mp4 [84.0 MB]
06.模型训练.mp4 [74.6 MB]
03.数据加载.mp4 [141.5 MB]
08.人脸识别.mp4 [65.7 MB]
05.模型构建.mp4 [15.9 MB]
📁 04-人脸识别
09.模型部署【公众号：秘知圈】.mp4 [42.9 MB]
06.人脸矫正【公众号：秘知圈】.mp4 [63.0 MB]
01.内容回顾【公众号：秘知圈】.mp4 [13.9 MB]
03.模型使用.mp4 [151.0 MB]
07.属性获取.mp4 [36.4 MB]
08.可视化.mp4 [158.8 MB]
05.代码结构.mp4 [29.3 MB]
02.模型训练.mp4 [66.5 MB]
10.人脸支付项目总结.mp4 [37.4 MB]
04.模型集成.mp4 [59.4 MB]
📁 01-人脸检测
02.视频读写.mp4 [59.1 MB]
08.训练策略.mp4 [29.4 MB]
06.模型构建.mp4 [134.4 MB]
11.内容总结.mp4 [12.3 MB]
09.训练流程.mp4 [78.7 MB]
01.内容回顾.mp4 [25.1 MB]
04.验证数据集.mp4 [81.1 MB]
03.人脸检测概述.mp4 [44.2 MB]
07.参数配置.mp4 [50.9 MB]
10.模型训练.mp4 [33.1 MB]
05.数据集获取.mp4 [67.6 MB]
📁 05_金融风控-V5.X版-8天-AI版
📁 day06
往期资料.png [493.5 KB]
04-LightGBM优势【公众号：秘知圈】.mp4 [72.4 MB]
01【回顾】昨日内容回顾【公众号：秘知圈】.mp4 [64.6 MB]
06-集成学习评分卡【公众号：秘知圈】.mp4 [179.4 MB]
05-LightGBM思路梳理【公众号：秘知圈】.mp4 [39.3 MB]
06【理解】逻辑回归评分卡-模型报告可视化【公众号：秘知圈】.mp4 [13.9 MB]
18【总结】今日内容总结【公众号：秘知圈】.mp4 [56.1 MB]
12【实现】集成学习评分卡-加载数据并数据划分【公众号：秘知圈】.mp4 [46.4 MB]
09【理解】集成学习评分卡-LightGBM原理.mp4 [62.1 MB]
14【实现】集成学习评分卡-模型训练&特征筛选.mp4 [113.2 MB]
01-昨日内容回顾.mp4 [61.9 MB]
04【实现】逻辑回归评分卡-模型报告-报告实现（上）.mp4 [61.8 MB]
15【实现】集成学习评分卡-评分映射.mp4 [43.6 MB]
13【理解】LightGBM参数&训练思路分析.mp4 [64.5 MB]
02【了解】今日内容介绍.mp4 [21.3 MB]
14【实现】集成学习评分卡-模型评估&画图.mp4 [33.8 MB]
08-toad整体流程梳理.mp4 [142.6 MB]
03【实现】逻辑回归评分卡-模型报告-数据准备.mp4 [53.9 MB]
03-评分卡转换.mp4 [62.0 MB]
05【实现】逻辑回归评分卡-模型报告-报告实现（下）.mp4 [67.6 MB]
10【回顾】上午内容回顾.mp4 [22.3 MB]
16【理解】集成学习评分卡-模型报告说明.mp4 [45.6 MB]
11【理解】集成学习评分卡-LightGBM分布式含义解释.mp4 [34.0 MB]
17【理解】toad库梳理整个流程.mp4 [208.0 MB]
07-toad官网简介.mp4 [73.3 MB]
08【实现】逻辑回归评分卡-评级划分.mp4 [22.7 MB]
02-评分卡逻辑转换.mp4 [20.2 MB]
07【实现】逻辑回归评分卡-评分映射.mp4 [61.0 MB]
📁 day02
建议您看一下.png [493.5 KB]
13【掌握】项目准备期-Y标签的定义【公众号：秘知圈】.mp4 [51.0 MB]
15【理解】项目准备期-观察期和表现期【公众号：秘知圈】.mp4 [17.7 MB]
12【理解】机器学习流程【公众号：秘知圈】.mp4 [24.8 MB]
20【理解】特征工程-特征评估【公众号：秘知圈】.mp4 [11.0 MB]
17【理解】项目准备期-样本设计【公众号：秘知圈】.mp4 [13.3 MB]
03【了解】各阶段转化率表（2）【公众号：秘知圈】.mp4 [97.6 MB]
05【了解】各阶段转化率表（4）【公众号：秘知圈】.mp4 [65.1 MB]
04【了解】各阶段转换率表（3）【公众号：秘知圈】.mp4 [113.8 MB]
10【理解】业务流程&ABC卡介绍【公众号：秘知圈】.mp4 [40.8 MB]
09【了解】下午内容介绍.mp4 [3.0 MB]
11【理解】互联网金融组成三部分.mp4 [38.2 MB]
14【理解】项目准备期-样本的概述.mp4 [26.7 MB]
06【了解】通过率表（1）.mp4 [45.3 MB]
02【了解】各阶段转化率表（1）.mp4 [109.8 MB]
07【了解】通过率表（2）.mp4 [49.1 MB]
21【理解】模型构建-模型训练&模型评估.mp4 [11.9 MB]
01【回顾】昨日内容回顾.mp4 [82.9 MB]
19【理解】特征工程-特征构建.mp4 [21.0 MB]
22【理解】上线运营.mp4 [24.2 MB]
08【理解】金融风控项目流程梳理.mp4 [13.1 MB]
18【理解】特征工程-数据收集.mp4 [31.3 MB]
16【理解】姓名准备期-数据集划分.mp4 [6.8 MB]
📁 day08
03-PyCharm操作【公众号：秘知圈】.mp4 [42.4 MB]
02【总结】项目总结-画图【公众号：秘知圈】.mp4 [53.4 MB]
10【了解】gitee及分支描述【公众号：秘知圈】.mp4 [31.4 MB]
17【实现】分支代码合并【公众号：秘知圈】.mp4 [30.1 MB]
20【理解】面试流程说明【公众号：秘知圈】.mp4 [70.3 MB]
04【了解】版本控制系统简述.mp4 [14.5 MB]
04-冲突解决.mp4 [46.0 MB]
05-面试流程说明.mp4 [107.8 MB]
01-git分支介绍.mp4 [17.1 MB]
02-git配置.mp4 [49.5 MB]
09【了解】git分支.mp4 [19.8 MB]
19【了解】简历和项目文档概述.mp4 [33.9 MB]
14【回顾】上午内容回顾.mp4 [18.4 MB]
03【了解】git简单历史.mp4 [11.8 MB]
12【了解】git命令拉取代码.mp4 [14.2 MB]
06【了解】Git及安装.mp4 [16.9 MB]
01【总结】项目总结-xmind.mp4 [83.9 MB]
08【理解】git架构.mp4 [30.2 MB]
07【理解】概念区分.mp4 [32.4 MB]
05【了解】版本控制系统之集中式和分布式.mp4 [17.7 MB]
13【实现】PyCharm拉取代码.mp4 [19.9 MB]
11【实现】配置账号及公钥.mp4 [36.0 MB]
15【实操】PyCharm整合git操作.mp4 [51.6 MB]
16【实操】更新远程仓库代码.mp4 [19.4 MB]
18【理解】冲突的解决.mp4 [38.3 MB]
📁 day05
13【实现】逻辑回归评分卡-加载数据【公众号：秘知圈】.mp4 [17.8 MB]
02【理解】多特征筛选-方差膨胀系数【公众号：秘知圈】.mp4 [17.1 MB]
03【实现】多特征筛选-方差膨胀系数案例【公众号：秘知圈】.mp4 [93.6 MB]
18【理解】模型报告解读【公众号：秘知圈】.mp4 [54.2 MB]
12【理解】逻辑回归评分卡-评分映射方法.mp4 [30.9 MB]
19【总结】今日内容总结.mp4 [28.5 MB]
08【了解】模型评分卡内容安排说明.mp4 [10.1 MB]
09【了解】模型构建流程（上）.mp4 [28.0 MB]
05【实现】多特征筛选-L1特征选择.mp4 [38.3 MB]
04【实现】多特征筛选-递归特征消除.mp4 [41.6 MB]
06【理解】特征监控.mp4 [35.8 MB]
11【理解】模型构建流程（下）.mp4 [15.1 MB]
07【小结】特征工程小结.mp4 [30.1 MB]
10【了解】模型构建流程（中）.mp4 [25.4 MB]
14【理解】逻辑回归评分卡-到底是先做特征还是先训练模型.mp4 [23.8 MB]
01【回顾】昨日内容回顾.mp4 [22.1 MB]
17【实现】逻辑回归评分卡-特征筛选.mp4 [113.9 MB]
15【实现】逻辑回归评分卡-模型训练.mp4 [29.8 MB]
16【实现】逻辑回归评分卡-模型评估.mp4 [53.0 MB]
📁 day04
16【理解】好特征的标准-区分度【公众号：秘知圈】.mp4 [21.5 MB]
20【理解】特征筛选-星座特征【公众号：秘知圈】.mp4 [9.7 MB]
12【了解】特征组合【公众号：秘知圈】.mp4 [9.7 MB]
14【扩展】信贷业务和可解释性【公众号：秘知圈】.mp4 [35.0 MB]
11【了解】多值有序类型编码.mp4 [5.9 MB]
04【实现】toad库分箱案例-调整箱数.mp4 [28.6 MB]
17【理解】好特征的标准-相关性.mp4 [24.5 MB]
19【理解】好特征的标准-稳定性及小结.mp4 [14.1 MB]
13【了解】用户关联特征.mp4 [14.8 MB]
06【实现】toad库分箱案例-WOE编码.mp4 [35.0 MB]
02【实现】toad库分箱案例-加载数据.mp4 [58.8 MB]
15【理解】好特征的标准-覆盖度.mp4 [7.9 MB]
01【回顾】昨日内容回顾.mp4 [55.1 MB]
18【实现】好特征的标准-相关性案例.mp4 [55.7 MB]
10【理解】三种编码小结.mp4 [14.0 MB]
21【理解】特征筛选-Boruta.mp4 [19.5 MB]
09【小结】toad库分箱案例-小结.mp4 [30.5 MB]
07【实现】toad库分箱案例-badrate坏人的比例及调整.mp4 [85.1 MB]
03【实现】toad库分箱案例-并可视化.mp4 [70.2 MB]
22【实现】特征筛选-Boruta案例.mp4 [87.0 MB]
08【实现】toad库分箱案例-WOE编码.mp4 [28.5 MB]
05【实现】toad库分箱案例-其他分箱展示.mp4 [7.5 MB]
23【总结】今日内容总结.mp4 [52.6 MB]
📁 day07
17【了解】preA模型【公众号：秘知圈】.mp4 [59.4 MB]
12【了解】异常点检测-zscore介绍【公众号：秘知圈】.mp4 [7.4 MB]
06【理解】样本不均衡-过采样介绍【公众号：秘知圈】.mp4 [19.5 MB]
14【实现】异常点检测-LOF案例【公众号：秘知圈】.mp4 [97.1 MB]
09【回顾】上午内容回顾【公众号：秘知圈】.mp4 [8.0 MB]
03【理解】样本不均衡及处理方式说明.mp4 [12.5 MB]
01【回顾】昨日内容回顾.mp4 [135.9 MB]
04【理解】样本不均衡-代价敏感介绍.mp4 [15.4 MB]
10【了解】反欺诈检测.mp4 [26.7 MB]
07【理解】样本不均衡-SMOTE案例流程说明.mp4 [76.4 MB]
15【理解】异常点检测-IF概述.mp4 [28.3 MB]
02【了解】今日内容介绍.mp4 [5.8 MB]
11【了解】异常点检测说明.mp4 [16.7 MB]
05【实现】样本不均衡-代价敏感案例.mp4 [45.8 MB]
16【实现】异常点检测-IF案例.mp4 [91.1 MB]
13【理解】异常点检测-LOF概述.mp4 [30.0 MB]
08【实现】杨不均衡-SMOTE案例实现.mp4 [90.4 MB]
18【小结】今日内容总结.mp4 [111.9 MB]
📁 day03
15【理解】时间序列特征衍生方式【公众号：秘知圈】.mp4 [73.7 MB]
05【理解】业务规则案例-数据字典【公众号：秘知圈】.mp4 [25.7 MB]
12【理解】数据准备-征信数据介绍【公众号：秘知圈】.mp4 [56.7 MB]
01【回顾】昨日内容回顾.mp4 [77.6 MB]
10【实现】业务规则案例-模型训练&可视化.mp4 [60.6 MB]
14【理解】时间截面特征&静态信息特征.mp4 [31.0 MB]
21【总结】今日内容回顾.mp4 [33.6 MB]
03【理解】规则挖掘案例介绍.mp4 [36.5 MB]
09【实现】业务规则案例-类别型衍生.mp4 [17.0 MB]
07【实现】业务规则案例-数据处理（填充，过滤，去重）.mp4 [57.2 MB]
18【理解】分箱介绍.mp4 [39.8 MB]
17【理解】时间序列特征未来信息处理.mp4 [15.4 MB]
04【理解】业务规则案例-需求.mp4 [10.4 MB]
20【理解】toad库大致说明.mp4 [18.9 MB]
02【了解】今日内容介绍.mp4 [9.3 MB]
11【小结】业务规则案例-小结.mp4 [29.5 MB]
08【实现】业务规则案例-数值型衍生.mp4 [41.9 MB]
16【理解】时间序列特征缺失值处理.mp4 [29.1 MB]
19【理解】卡方分箱.mp4 [33.3 MB]
13【了解】梳理数据内置逻辑.mp4 [32.6 MB]
06【实现】业务规则案例-加载数据.mp4 [38.1 MB]
📁 day01
11【实现】风控业务案例-增加中间字段【公众号：秘知圈】.mp4 [64.3 MB]
18【了解】业务转换和漏斗【公众号：秘知圈】.mp4 [18.6 MB]
01【了解】-课程资料说明【公众号：秘知圈】.mp4 [7.6 MB]
13【实现】风控业务案例-计算坏账率【公众号：秘知圈】.mp4 [59.0 MB]
09【实现】风控业务案例-数据加载【公众号：秘知圈】.mp4 [36.7 MB]
03【了解】-今日内容介绍【公众号：秘知圈】.mp4 [13.6 MB]
12【实现】风控业务案例-季度转换和过滤.mp4 [51.9 MB]
04【理解】信贷&风控介绍.mp4 [54.0 MB]
20【了解】前置操作（配置终端工具和datagrip）.mp4 [33.2 MB]
21【了解】风控报表指标介绍.mp4 [8.2 MB]
22【了解】数据导入.mp4 [15.7 MB]
08【理解】风控业务案例-背景&需求说明.mp4 [34.8 MB]
14【实现】风控业务案例-就散入催率.mp4 [71.8 MB]
05【了解】消费贷和现金贷.mp4 [77.7 MB]
15【实现】风控业务案例-回收账单数.mp4 [43.3 MB]
07【理解】风控术语名词.mp4 [26.2 MB]
06【了解】常见风险介绍.mp4 [22.5 MB]
19【了解】业务表说明.mp4 [67.6 MB]
10【实现】风控业务案例-数据处理.mp4 [61.5 MB]
16【小结】风控业务案例小结.mp4 [21.7 MB]
02【了解】-项目整体介绍.mp4 [12.8 MB]
17【理解】信贷业务如何运行.mp4 [37.1 MB]
📁 04_机器学习-V5.X版-10天-AI版
📁 day09-聚类kmeans算法+SVM
学习资料更新说明.png [493.5 KB]
05-SVM思想【公众号：秘知圈】.mp4 [34.7 MB]
03-案例-客户分析-数据展示【公众号：秘知圈】.mp4 [82.9 MB]
07-SVM案例-鸢尾花-模型训练展示【公众号：秘知圈】.mp4 [77.3 MB]
02-K-means总结【公众号：秘知圈】.mp4 [38.1 MB]
09-SVM算法原理.mp4 [61.0 MB]
01-朴素贝叶斯+特征降维总结.mp4 [57.1 MB]
08-SVM-C值测试.mp4 [13.3 MB]
10-SVM核函数.mp4 [42.1 MB]
04-案例-客户分析-模型训练及结果分析.mp4 [96.6 MB]
06-SVM案例-鸢尾花-数据读取处理.mp4 [50.9 MB]
📁 day08-朴素贝叶斯和特征降维+聚类K-means
更多课程资料领取入口.zip [1.8 MB]
03-总结【公众号：秘知圈】.mp4 [18.6 MB]
10-特征降维总结【公众号：秘知圈】.mp4 [22.8 MB]
07-相关系数法mp4【公众号：秘知圈】.mp4 [49.8 MB]
13-K-means实现流程.mp4 [24.5 MB]
01-昨日回顾.mp4 [100.1 MB]
05-低方差过滤法.mp4 [22.9 MB]
14-K-Means评估指标.mp4 [81.1 MB]
04-朴素贝叶斯情感分类案例.mp4 [90.1 MB]
06-PCA.mp4 [17.9 MB]
12-K-means API.mp4 [22.7 MB]
08-特征降维总结.mp4 [8.7 MB]
02-朴素贝叶斯思想.mp4 [62.8 MB]
09-朴素贝叶斯总结.mp4 [38.1 MB]
11-聚类基本介绍.mp4 [18.5 MB]
📁 day04-线性回归+逻辑回归
14-逻辑回归基本介绍【公众号：秘知圈】.mp4 [38.5 MB]
10-过拟合欠拟合实现【公众号：秘知圈】.mp4 [39.7 MB]
12-正则化-L2正则化及代码实现【公众号：秘知圈】.mp4 [53.0 MB]
13-线性回归总结【公众号：秘知圈】.mp4 [81.5 MB]
06-评估指标.mp4 [25.6 MB]
03-案例-银行信贷.mp4 [58.2 MB]
07-梯度下降法+正规方程法API.mp4 [19.1 MB]
11-正则化-L1.mp4 [50.9 MB]
15-逻辑回归基本原理.mp4 [40.0 MB]
08-波士顿房价预测-正规方程法.mp4 [45.6 MB]
02-梯度下降法案例.mp4 [21.8 MB]
09-波士顿房价预测-梯度下降法.mp4 [21.6 MB]
04-梯度下降法算法分类.mp4 [50.7 MB]
01-昨日回顾.mp4 [84.0 MB]
05-梯度下降算法总结.mp4 [8.8 MB]
📁 day07-集成学习
05-adaboost案例-葡萄酒分类.mp4 [65.5 MB]
02-集成学习思想.mp4 [39.0 MB]
09-XGBoost案例.mp4 [105.3 MB]
08-XGBoost原理.mp4 [57.1 MB]
04-随机森林案例.mp4 [34.1 MB]
01-昨日回顾.mp4 [62.4 MB]
03-随机森林思想.mp4 [65.5 MB]
04-Adaboost思想.mp4 [113.2 MB]
06-GBDT思想.mp4 [45.5 MB]
07-GBDT 案例-泰坦尼克号-代码实现.mp4 [34.3 MB]
📁 day10-总结+拓展
06-大模型时代-2【公众号：秘知圈】.mp4 [111.0 MB]
05-大模型时代-1【公众号：秘知圈】.mp4 [104.9 MB]
01-总结回顾-1【公众号：秘知圈】.mp4 [112.1 MB]
02-总结回顾-2.mp4 [104.9 MB]
03-总结回顾-3.mp4 [99.2 MB]
04-总结回顾-4.mp4 [78.1 MB]
📁 day05-逻辑回归
06-AUCAPI【公众号：秘知圈】.mp4 [26.3 MB]
06-案例-客户流失-数据预处理【公众号：秘知圈】.mp4 [110.0 MB]
07-案例-客户流失-模型训练.mp4 [70.5 MB]
02-逻辑回归案例-cancer预测.mp4 [98.6 MB]
01-总结回顾.mp4 [113.2 MB]
08-今日总结.mp4 [58.8 MB]
05-ROCAUC.mp4 [55.6 MB]
04-评估-PRf1-score.mp4 [38.6 MB]
03-评估-混淆矩阵.mp4 [44.7 MB]
📁 day03-线性回归
07-导数和矩阵【公众号：秘知圈】.mp4 [86.1 MB]
03-KNNMINIST-模型训练【公众号：秘知圈】.mp4 [78.0 MB]
02-KNN-MINIST-数据获取【公众号：秘知圈】.mp4 [63.9 MB]
05-线性回归介绍.mp4 [12.9 MB]
01-昨日回顾.mp4 [64.9 MB]
08-练习题.mp4 [18.0 MB]
06-线性回归基本求解及概念介绍.mp4 [50.5 MB]
09-正规方程法.mp4 [29.5 MB]
10-梯度下降法.mp4 [12.9 MB]
04-KNN-作业.mp4 [12.4 MB]
📁 day06-决策树
08-C4.5总结【公众号：秘知圈】.mp4 [7.0 MB]
02-决策树思想【公众号：秘知圈】.mp4 [9.9 MB]
10-CART决策树-案例+总结【公众号：秘知圈】.mp4 [28.1 MB]
07-C4.5-案例【公众号：秘知圈】.mp4 [20.6 MB]
04-信息增益-详解【公众号：秘知圈】.mp4 [11.6 MB]
01-昨日回顾.mp4 [47.0 MB]
05-ID3决策树-总结.mp4 [43.0 MB]
15-决策树剪枝.mp4 [36.8 MB]
16-今日总结.mp4 [78.5 MB]
09-CART决策树-案例.mp4 [37.1 MB]
14-回归决策树-案例.mp4 [29.8 MB]
03-ID3决策树-信息增益.mp4 [33.4 MB]
06-C4.5-信息增益率.mp4 [20.9 MB]
13-回归决策树-思想.mp4 [34.5 MB]
11-泰坦尼克号案例-讲解.mp4 [41.7 MB]
12-泰坦尼克号案例-代码实现.mp4 [95.5 MB]
📁 day01-机器学习概述
14-今日总结【公众号：秘知圈】.mp4 [32.1 MB]
03-应用领域及发展史.mp4 [31.9 MB]
04-常用术语（特征，样本，标签）.mp4 [16.6 MB]
10-kmeans案例.mp4 [78.2 MB]
08-线性回归-模型保存.mp4 [22.2 MB]
12-过拟合欠拟合.mp4 [16.0 MB]
01-课前内容.mp4 [49.4 MB]
07-Anaconda+Pycharm.mp4 [38.2 MB]
11-特征工程.mp4 [17.9 MB]
05-机器学习算法分类.mp4 [42.9 MB]
06-建模流程+线性回归案例demo.mp4 [68.3 MB]
09-KNN案例.mp4 [43.7 MB]
02-人工智能三大概念.mp4 [60.7 MB]
13-sklearn库.mp4 [6.8 MB]
📁 day02-KNN算法
08-模型预处理案例-鸢尾花-数据导入【公众号：秘知圈】.mp4 [29.8 MB]
03-KNN思想2【公众号：秘知圈】.mp4 [34.1 MB]
09-鸢尾花特征数据展示【公众号：秘知圈】.mp4 [52.9 MB]
14-今日总结【公众号：秘知圈】.mp4 [55.9 MB]
11-模型预测评估【公众号：秘知圈】.mp4 [68.6 MB]
04-KNN-API.mp4 [21.1 MB]
06-模型预处理-归一化.mp4 [36.3 MB]
07-模型预处理-标准化及总结.mp4 [36.8 MB]
12-交叉验证网格搜索.mp4 [51.5 MB]
01-昨日回顾.mp4 [73.3 MB]
10-数据可视化+数据集切分.mp4 [27.2 MB]
13-交叉验证代码解析.mp4 [21.2 MB]
05-距离度量.mp4 [24.0 MB]
02-KNN思想.mp4 [10.7 MB]
算法-毕天宇-滑动窗口法【公众号：秘知圈】.mp4 [76.9 MB]
每日算法.mp4 [37.5 MB]
📁 10_开源大模型平台-V5.X版本-3天-AI版
📁 02-百度
课程相关资源.png [493.5 KB]
01-百度千帆【公众号：秘知圈】.mp4 [57.5 MB]
02-千帆模型.mp4 [44.2 MB]
📁 01-讯飞
03-大模型定制平台【公众号：秘知圈】.mp4 [45.3 MB]
01-星火大模型介绍【公众号：秘知圈】.mp4 [51.9 MB]
04-语音大模型.mp4 [44.0 MB]
02-API.mp4 [49.4 MB]
📁 03-阿里
01-阿里百炼.mp4 [69.1 MB]
02-阿里PAI.mp4 [76.1 MB]适合人群
- Python初学者
- AI爱好者
- 数据分析师
学习收获
掌握Python数据分析技能
了解机器学习算法
应用深度学习解决实际问题
祝您学习愉快！
学有所成，前程似锦！
