文件内容:
file:算法-毕天宇-滑动窗口法.mp4
file:每日算法.mp4
file:10-基于规则案例.mp4
file:03-三个工具.mp4
file:08-基于规则.mp4
file:07-总结.mp4
file:04-doccano安装.mp4
file:09-ner基本知识.mp4
file:01-什么是知识图谱.mp4
file:05-doccano使用1.mp4
file:06-doccano使用2.mp4
file:02-知识图谱技术概况.mp4
file:11-lstm+crf架构.mp4
file:01-模型debug.mp4
file:07-model2text.mp4
file:02-lstm搭建.mp4
file:12-train-debug.mp4
file:08-extractents.mp4
file:06-model2dev.mp4
file:01-每日反馈+总结.mp4
file:11-dataloader-dubug.mp4
file:03-lstm-crf搭建.mp4
file:10-TransferData-debug.mp4
file:04-model2train.mp4
file:09-部署上线.mp4
file:06-sentpadding.mp4
file:11-getloader.mp4
file:07-pospadding.mp4
file:04-config.mp4
file:09-dataset.mp4
file:05-数据预处理1.mp4
file:01-每日反馈+拓展.mp4
file:08-getdata.mp4
file:02-关系抽取基本知识.mp4
file:03-基于规则实现RE.mp4
file:10-collatefn.mp4
file:04-loss.mp4
file:10-predict.mp4
file:08-train.mp4
file:09-traindebug.mp4
file:03-computeloss.mp4
file:01-反馈+总结.mp4
file:07-extractobjandrel.mp4
file:05-loadmodel.mp4
file:02-getsubs+getobjsforspecificsub.mp4
file:06-extractsub.mp4
file:06-填充工作.mp4
file:04-label举例解释.mp4
file:05-解析innertriples.mp4
file:10-模型init.mp4
file:02-findheadindex.mp4
file:08-dataset.mp4
file:07-collatefn.mp4
file:09-getdata+debug.mp4
file:01-每日反馈+总结.mp4
file:03-label初始化.mp4
file:01-CRF损失函数推导.mp4
file:09-dataset-collatefn.mp4
file:07-总结.mp4
file:06-readlabeltext.mp4
file:04-加载数据集.mp4
file:02-代码架构.mp4
file:10-getdata.mp4
file:03-项目架构.mp4
file:05-transfer方法.mp4
file:11-总结.mp4
file:08-config.mp4
file:03-forward的shape变化.mp4
file:08-casrel架构.mp4
file:10-config.mp4
file:02-模型init.mp4
file:09-casrel模型细节.mp4
file:04-forward实现.mp4
file:05-train实现.mp4
file:07-predict讲解.mp4
file:06-model2test实现.mp4
file:01-每日反馈+总结.mp4
file:05-查询节点关系.mp4
file:04-创建节点关系.mp4
file:07-readydata.mp4
file:09-检索neo4j.mp4
file:06-getspotype分析.mp4
file:02-cypher使用2.mp4
file:01-neo4切换测试库.mp4
file:03-cypher使用3.mp4
file:08-构建neo4j.mp4
file:04【理解】样本不均衡-代价敏感介绍.mp4
file:10【了解】反欺诈检测.mp4
file:18【小结】今日内容总结.mp4
file:08【实现】杨不均衡-SMOTE案例实现.mp4
file:02【了解】今日内容介绍.mp4
file:05【实现】样本不均衡-代价敏感案例.mp4
file:01【回顾】昨日内容回顾.mp4
file:17【了解】preA模型.mp4
file:12【了解】异常点检测-zscore介绍.mp4
file:07【理解】样本不均衡-SMOTE案例流程说明.mp4
file:16【实现】异常点检测-IF案例.mp4
file:14【实现】异常点检测-LOF案例.mp4
file:03【理解】样本不均衡及处理方式说明.mp4
file:13【理解】异常点检测-LOF概述.mp4
file:06【理解】样本不均衡-过采样介绍.mp4
file:15【理解】异常点检测-IF概述.mp4
file:11【了解】异常点检测说明.mp4
file:09【回顾】上午内容回顾.mp4
folder:黑马程序员《2025年Python+人工智能开发教程 V5.0 (AI版) 》
folder:08_知识图谱-V5.X-10天-AI版
folder:05_金融风控-V5.X版-8天-AI版
folder:09_大模型-V5.X版本【线下】-13天-AI版
folder:03-数据处理和统计分析-V5.X版-10天-AI版
folder:阶段013 赠品-亿图人脸支付项目
folder:阶段012 赠品-计算机视觉
folder:阶段014 赠品-AI智慧交通项目实战
folder:02_Python进阶-V5.X版-9天-AI版
folder:06_深度学习基础-V5.X版-6天-AI版
folder:10_开源大模型平台-V5.X版本-3天-AI版
folder:07_自然语言处理+GPT-V5.X版-13天-AI版
folder:01_Python基础-V5.X版-14天-AI版
folder:04_机器学习-V5.X版-10天-AI版
folder:阶段011 赠品-投满分项目
folder:day01
folder:day09
folder:day03
folder:day04
folder:day07
folder:day06
folder:day02
folder:day05
folder:day08
folder:day07
folder:day03
folder:day05
folder:day08
folder:day02
folder:day01
folder:day06
folder:day04
folder:day08
folder:day09
folder:day03
folder:day01
folder:day07
folder:day11
folder:day06
folder:day10
folder:day13
folder:day12
folder:day02
folder:day05
folder:day04
folder:day10
folder:day09
folder:day02
folder:day05
folder:day03
folder:day06
folder:day08
folder:day07
folder:day04
folder:day01
folder:03-人脸多任务(1)
folder:04-人脸识别
folder:02-人脸姿态
folder:01-人脸检测
folder:此部分为赠送教程-CV
folder:04-车道线检测
folder:01-opencv
folder:02-yoloV8
folder:03-车流量统计
folder:day03-学生管理系统-深拷贝浅拷贝
folder:day09_算法和数据结构
folder:day08_算法和数据结构
folder:day02-面向对象高级
folder:day06_多线程_生成器
folder:day04_闭包和装饰器
folder:day01-面向对象基础
folder:day07_正则表达式
folder:day05_网编和多线程
folder:day02
folder:day04
folder:day01
folder:day06
folder:day03
folder:day05
folder:01-讯飞
folder:03-阿里
folder:02-百度
folder:day03
folder:day04
folder:day09
folder:day06
folder:day12
folder:day07
folder:day10
folder:day05
folder:day01
folder:day02
folder:day11
folder:day13
folder:day08
folder:03.Python基础
folder:02.MySQL基础
folder:01.Linux基础
folder:day06-决策树
folder:day08-朴素贝叶斯和特征降维+聚类K-means
folder:day02-KNN算法
folder:day10-总结+拓展
folder:day01-机器学习概述
folder:day07-集成学习
folder:day09-聚类kmeans算法+SVM
folder:day04-线性回归+逻辑回归
folder:day03-线性回归
folder:day05-逻辑回归
folder:day05
folder:day01
folder:day03
folder:day04
folder:day06
folder:day02