咕泡学院-人工智能深度学习系统班（第14期）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 咕泡学院-人工智能深度学习系统班（第14期）https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13-【方向A：CV方向】自动化驾驶
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 32-【进阶模块】深度学习模型部署与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 25-【方向D时序与GNN方向】时间序列预测算法与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10-【方向A：CV方向】生成模型与图像生成技术
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 16-【方向A：CV方向】文字检测与识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 04-【基础模块】深度学习核心算法与实践
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 28-【方向E强化学习】人形机器人高级学习与控制方法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 01-【直播课】直播回放
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 03-【基础模块】深度学习基础与框架
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 19-【方向B：NLP方向】Transformer与预训练语言模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 15-【方向A：CV方向】工业与医学视觉应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 27-【方向E强化学习】强化学习基础算法与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 30-【方向F智能应用】语音识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 02-【基础模块】Al课程所需安装软件教程
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 17-【方向B：NLP方向】自然语言处理基础技术
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 29-【方向F智能应用】知识图谱技术与构建
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 33-【进阶模块】深度学习模型优化与创新
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11-【方向A：CV方向】行为识别+姿态估计+目标追踪
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 35-14期直播课程
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12-【方向A：CV方向】行人重识别技术
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 26-【方向D时序与GNN方向】图神经网络实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 07-【方向A：CV方向】图像分割算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 06-【方向A：CV方向】目标检测算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 31-【方向F智能应用】现代推荐系统与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 14-【方向A：CV方向】3D点云处理
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 18-【方向B：NLP方向】词向量与文本表示学习
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 09-【方向A：CV方向】Transformer与视觉应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 34-【进阶模块】科研与职业发展
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 08-【方向A：CV方向】MMLAB框架与数据集制作实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 05-【方向A：CV方向】图像处理基础
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.PyTorch Flask部署示例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.PyTorch Docker部署示例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.NVIDIA TAO训练工具
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.DeepStream应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.使用Docker实现TensorFlow-Serving部署实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.AloT实战应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.AloT与Jetson Nano
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.TimesNet时序预测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.time-llm大模型多模态预测任务
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.RNN网络架构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.LSTM网络架构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.基于图模型的时间序列预测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.Informer算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.Informer源码
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-三维重建 NeuralRecon算法环境配置
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9-三维重建 TSDF算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11-轨迹估计VectorNet 算法论文解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-深度估计实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12-VectorNet 算法实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-车道线检测算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10-三维重建 TSDF算法实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-三维重建 NeuralRecon算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-深度估计算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-三维重建与坐标系
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8-三维重建 NeuralRecon算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13-特斯拉无人驾驶解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-车道线检测实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11-DALL-E 2论文解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12-DALL-E 2源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13-视频超分辨率重构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8-starganvc2变声器项目实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-StarGANv2变声器论文解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-CycleGAN图像转换技术
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-stargan论文架构解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10-Diffusion模型架构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-stargan项目实战及其源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-基于 GAN 的图像补全实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-基于 SRGAN图像超分辨率实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-生成对抗网络架构原理
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9-StyleGAN2高质量图像生成架构
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1.开班典礼：如何学好人工智能学科.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3.卷积神经网络.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4.transformer解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2.神经网络.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-OCR算法解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-DBNET文字检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-项目实战-文档扫描OCR识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-项目实战-信用卡数字识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-ANINET文字识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.图像识别模型与训练策略（重点）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.卷积网络参数分析与优化
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.卷积神经网络深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.DataLoader自定义数据集制作
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.ResNet模型及其应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.LSTM网络架构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.RNN网络架构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9.Transformer基础
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.LSTM文本分类
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.神经网络结构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.神经网络分类任务
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.神经网络回归：气温预测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.PyTorch框架必备核心模块解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.Pycharm环境配置与Debug演示
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.强化学习简介及其应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.PPO实战-月球登陆器训练实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.PPO算法与公式推导
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.Q-learning与DQN算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.DQN改进与应用技巧
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.强化学习-拓展
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.用A3C玩转超级马里奥
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.Actor-Critic算法分析（A3C）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-医学图像分类
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-基于OpenCV的缺陷检测实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-半监督布料缺陷检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8-医学视频诊断
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-基于OpenCV的视频缺陷检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-医学细胞分割
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-钢材缺陷检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-Deeplab铁质材料缺陷检测与开源项应流程
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9-医学细胞检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-预训练语言模型 BERT 变体原理解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8-BERT应用实战-中文命名实体识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-Transformer工具包实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-Huggingface数据集制作方法实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9-文本标注与NER
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-预训练语言模型 BERT 源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10-文本预训练构建
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12-知识图谱抽取实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-预训练语言模型 BERT 原理解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-Huggingface与NLP介绍
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-BERT应用实战-中文情感分析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11-文本预训练模型构建实例
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1.AI课程所需安装软件教程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2.Python环境安装和搭建.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3.Anaconda基础讲解和使用的教程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4.PyTorch框架与其他框架区别分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5.CPU与GPU版本安装方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-N-gram 语言模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-HMM隐马尔科夫模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-NLP常用工具包实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-商品信息可视化与文本分析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-自然语言处理项目流程实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-贝叶斯算法分析与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.基于知识图谱的医药问答系统实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.医学糖尿病数据命名实体识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.Neo4j图数据库实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.金融平台风控模型实践
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.文本关系抽取实践
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.知识图谱分析与应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.语音分离ConvTasnet模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.seq2seq序列网络模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.LAS模型语音识别实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.ConvTasnet语音分离实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.语音合成tacotron最新版实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.staeganvc2变声器源码实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.starganvc2变声器论文原理解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-计算机视觉行业落地综合实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-大模型算法原理与架构深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-计算机视觉基础与工程落地
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-自然语言处理基础与Transformer原理
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.模型剪枝-Network Slimming实战解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.通用创新点
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.Mobilenet三代网络模型架构
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.知识蒸馏
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.拓展-模型部署与优化
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.模型剪枝-Network Slimming算法分析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-基于拓扑图的ReID实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-注意力机制ReID模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-局部特征融合ReID实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-行人搜索源码分析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-旷视研究院图模型ReID算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-AAAI最新ReID算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-行人重识别基础理论
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-人体姿态估计OpenPose算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-slowfast算法源码详细解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6- CVPR 异常检测算法论文解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10-deepsort算法知识点解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-SlowFast 算法环境配置
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8-OpenPose算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-3D卷积视频分析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9-deepsort源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11-多目标追踪算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-SlowFast 行为识别算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5- 视频异常检测算法与元学习
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.物体检测评估指标
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 14.YOLOv12与YOLOv13最新检测算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10.YOLOv7检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11.YOLOv8检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.YOLOv3检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.YOLOv4版本算法解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.YOLOv2检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9.YOLOv5检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.YOLO系列大串讲(可刷这个快速过)
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.YOLOv1检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12.YOLOv9检测算法深度解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.经典物体检测算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.YOLO模型数据标注与训练
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13.YOLO-World 检测算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.推荐系统常用工具包演示
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9.基本统计分析的电影推荐
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.推荐系统介绍及其应用
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.基于知识图谱的电影推荐实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.知识图谱与Neo4j数据库实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.DeepFM算法解析与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.音乐推荐系统实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.协同过滤与矩阵分解
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10.基于相似度的酒店推荐系统
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.基于文本数据的推荐实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.KIE关键信息抽取
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.异构图神经网络
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.图注意力与序列模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.图相似度论文分析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.PyTorch Geometric配置与实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.图卷积（GCN）模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.图神经网络基础
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.图模型轨迹估计
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9.MaskRcnn网络框架源码详解
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.基于deeplabV3+版本进VOC分割实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.图像分割与损失函数
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12.SAM2视频分割
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 14.遥感图像处理与高光谱图像智能解译
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.基于deeplabV3脏视频数据集分割建模实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13.EfficientSam分割算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.DeepLab 语义分割算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.Mask R-CNN 实例分割算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.Unet系列算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.Unet医学细胞分割实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.U2NET显著性检测实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10.Mask R-CNN 训练自己的数据与任务
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11.SAM 图像分割算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-点云配准技术
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-3D点云PointNet 算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-3D点云PointNet++算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-3D点云应用领域介绍
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-点云补全PF-Net 算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-Pointnet++项目实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-PF-Net 算法实战
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-基于word2vec的实战项目
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7-NLP实战项目-医学糖尿病数据命名实体识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-文本特征方法对比
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4-文本相似度模型
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5-NLP实战项目-机器人写唐诗
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6-NLP实战项目-对话机器人
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-Word2Vec模型解读与构建
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.Vision Transformer算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.视觉自监督BEIT算法解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.Vision Transformer算法原理解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.SwinTransformer算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9.DETR目标检测源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11.Deformable DETR 算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.SwinTransformer算法原理解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13.MedicalTransformer 算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.视觉自监督任务BEITv2源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 16.BEVFormer 3D检测算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12.MedicalTransformer 分割算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10.Deformable DETR 检测算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 17.BEVFormer 算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 15.Mask2former 分割算法码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 18.LoFTR特征匹配算法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.DETR目标检测算法解析
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 14.Maskformer 分割算法源码解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.视觉自监督任务BEITv2论文解读
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.Deepseek辅助科研技能学习和科研探索
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.就业简历指导
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.论文写作与科研方法论
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.AI时代职业规划
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-基本结构与训练好的模型加载.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-服务端处理与预测函数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-基于Flask测试模型预测结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-基于docker配置pytorch环境.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-阿里云镜像配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-docker安装与配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-docker简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-复制所需配置到容器中.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-上传与下载配置好的项目.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-安装演示环境所需依赖.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.Unet策略修改（分割）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.模型源码调试（分类）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.分割任务CVPR最新Backbone设计及其应用（分割）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.MMDetection自定义数据训练（检测）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.分割模块自定义数据集训练（分割）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9. MMAction自定义数据训练（行为识别）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.训练结果测试与验证（分类）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.MMCV安装方法
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.分类任务操作（分类）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 13.OpenCV项目实战-疲劳检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 7.OpenCV高级图像处理技术
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3.OpenCV梯度计算与边缘检测实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 5.OpenCV角点检测
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 12.OpenCV项目实战-目标追踪
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 11.OpenCV项目实战-答题卡识别判卷
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2.OpenCV图像常处理法实例
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 4.OpenCV轮廓检测与直图
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 6.OpenCV尺度空间
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 8.OpenCV项目实战-信用卡数字识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 10.OpenCV项目实战-停车场车位识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 9.OpenCV项目实战-文档扫描OCR识别
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1.课程介绍与环境配置
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-NVIDIA TAO数据准备和环境设置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-TAO 剪枝在训练推理验证.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-NVIDIA TAO预训练模型和训练c.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-NVIDIA TAO介绍和安装.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-NVIDIA TAO数据转换.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-NVIDIA TAO预训练模型和训练a.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-NVIDIA TAO预训练模型和训练b.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-GStreamer RTP和RTSP1.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-GStreamer RTP和RTSP2.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-deepstream HelloWorld.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-python实现RTP和RTSP.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-deepstream 介绍安装.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-deepstream集成yolov4.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-deepstream推理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-docker 的安装使用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-训练出自己目标识别模型a.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-jetson-inference 入门.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-转换出onnx模型，并使用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-训练自己的目标检测模型准备.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-docker中运行分类模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-训练出自己目标识别模型b.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-加载fashion模型启动服务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-tf-serving项目获取与配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-fashion数据集获取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-加载并启动模型服务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-测试模型部署效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 RNN网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-安装使用摄像头csi usb.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-jetson nano 硬件介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-jetson nano 刷机.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-感受nano的GPU算力.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-jetson nano 系统安装过程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-整体计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-时序特征周期拆解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-全部计算流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-源码流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-周期间特征分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-时序预测故事背景.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-论文核心思想解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-傅里叶变换流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-计算公式流程拆解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-time-llm大模型多模态预测任务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 LSTM网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-基于图模型的时间序列预测 .mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-完成注意力机制计算模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据处理相关模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-核心采样计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-dataloader构建实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-整体架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-平均向量的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-项目使用说明.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据集解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-解码器预测输出.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-时间相关特征提取方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-模型训练所需参数解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-编码器模块实现.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-数据集构建与读取方式.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-probAttention计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-编码器全部计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-解码器流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-Query采样方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-时间序列预测要完成的任务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-常用模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-论文要解决的问题分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-布局初始化操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-坐标转换流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-合成过程DEMO演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-输出结果融合更新.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-TSDF整体概述分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-TSDF计算基本流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-TSDF标签生成方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-Scannet数据集内容概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集下载与配置方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-完成依赖环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-ISSUE的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-网络结构ASPP层.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-输出深度估计结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-模型DEMO输出结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-使用backbone进行特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-特征拼接方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-项目环境配置解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据与标签定义方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-权重参数标准化操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-计算差异特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据集dataloader制作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-损失函数通俗解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-特征工程的作用与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-特征融合模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-输入细节分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-子图模块构建方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-传统方法与现在向量空间对比.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-整体三大模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与标注信息解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-VectorNet输出层分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-论文概述分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据标签与任务分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-损失函数计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-输出结果分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-网络整体框架分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-整体架构重构方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-任务流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-基本框架熟悉.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-特征映射方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-片段融合思想.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-初始化与数据读取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-计算得到TSDF输出.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-环境配置概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-DataLoader构建图结构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-训练数据准备.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据与环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-SubGraph与Attention模型流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Agent特征提取方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-特斯拉无人驾驶解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-网络coarse-to-fine过程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-差异特征计算边界信息.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-使用backbone获取层级特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-特征拼接方法分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-权重参数预处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-损失计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-空洞卷积与ASPP.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-SPP层的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-kitti数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-深度估计效果与应用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-坐标系转换方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-相机标定简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-相机内外参.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-三维重建应用领域概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-相机坐标系.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-三维重建概述分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-通过内外参数进行坐标变换.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-成像方法概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-完成三个阶段预测结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-初始化体素位置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-坐标映射方法实现.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-项目总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-得到一阶段输出结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-插值得到对应特征向量.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-得到体素所对应特征图.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Backbone得到特征图.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-不同模块对比分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-算法核心流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-各模块实现细节讲解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文基本思想与核心模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-KIE关键信息抽取与视频超分辨率重构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-源码实现细节分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-源码公式对应论文分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-源码实现流程总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-项目整体流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-Decoder模块实现细节解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-损失函数计算模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-制作数据集dataloader.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-车道线标签数据处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-四条车道线标签位置矩阵.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-算法网络结构解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-DEMO制作与配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-完成数据与标签制作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-车道数据与标签解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-grid设置方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-车道线规则损失函数限制.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-项目环境配置演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-生成器模型架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-语音特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-VCC2016输入数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-InstanceNorm的作用解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文整体思路与架构解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-AdaIn的目的与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-判别器模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-生成与判别损失函数指定.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-损失函数：identity loss计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-PatchGan判别网络原理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据读取与预处理操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-CycleGan网络所需数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-额外补充：VISDOM可视化配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-生成网络模块构造.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-Cycle开源项目简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-CycleGan整体网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-判别网络模块构造.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-建模流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-V1版本存在的问题及后续改进思路.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-训练过程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-V2版本在整体网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-网络架构整体思路解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-损失函数公式解析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-stargan效果演示分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-编码器训练方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据与项目文件解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-starganvc2版本标签输入分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-生成器前向传播维度变化.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-下采样与上采样操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-论文损失函数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-环境配置与工具包安装.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据预处理与声音特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-判别器模块解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-生成器构造模块解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-测试模块-生成转换语音.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-源码损失计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据与环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-损失函数与训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-判别模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-生成模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-测试模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-VGG特征提取网络.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-数据加载与配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Diffusion模型解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-参数基本设计.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-网络迭代训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-论文总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-测试模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-网络结构配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据与项目概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-细节设计.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-判别器损失计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-测试模块效果与实验分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-损失计算详细过程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-项目配置与数据源下载.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-所有网络模块构建实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-项目参数解析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-数据读取模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-生成模块损失计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-测试效果演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-生成器模块源码解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-损失函数解释说明.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-数据读取模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-对抗生成网络通俗解释.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-GAN网络组成.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-生成与判别网络定义.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-损失计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-文字检测数据概述与配置文件.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Neck层特征组合.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-配置文件参数设置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-损失函数模块概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-上采样得到输出结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-得到style特征编码.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-损失函数概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-基础风格特征卷积模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-要完成的任务与基本思想概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-特征编码风格拼接.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-OCR算法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-输出层与梯度设置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-重新训练全部模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-任务分析与图像数据基本处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据增强模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-测试结果演示分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-优化器与学习率衰减.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-迁移学习方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-模型训练方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-输出类别个数修改.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据集与模型选择.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-整体流程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-文档轮廓提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-透视变换结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-原始与变换坐标计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-tesseract-ocr安装配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-文档扫描识别效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-环境配置与预处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-输入数据处理方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-总体流程与方法讲解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-模板处理方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-模板匹配得出识别结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-视觉Transformer模块的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-文本模型中的结构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-输出层与损失计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Bakbone模块得到特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-视觉模型中的编码与解码的效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与环境概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-迭代修正模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-配置文件修改方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 卷积神经网络.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-实用Dataloader加载数据并训练模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Dataloader要完成的任务分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-图像数据与标签路径处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Dataloader中需要实现的方法分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-Resnet网络前向传播.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-网络整体流程与训练演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-dataloader加载数据集.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-医学疾病数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-Resnet网络架构原理分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-特征图升维与降采样操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-残差网络的shortcut操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-卷积网络参数解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-输入特征通道分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-卷积网络模型训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 LSTM网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-字符预处理转换ID.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-文本数据处理基本流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-模型训练任务与总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与任务目标分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-命令行参数与DEBUG.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-网络模型预测结果输出.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-预料表与字符切分.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-训练模型所需基本配置参数分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-LSTM网络结构基本定义.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 RNN网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Transformer.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-GITHUB开源项目使用方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-transformer-VIT源码解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 神经网络回归任务-气温预测.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 神经网络结构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-损失与训练模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-训练一个基本的分类模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-网络结构定义方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与任务概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-基本模块应用测试.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-数据源定义简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-参数对结果的影响.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-框架安装方法（CPU与GPU版本）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-自动求导机制.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-补充：常见tensor格式.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-PyTorch基本操作简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-PyTorch实战课程简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-线性回归DEMO-训练回归模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-PyTorch框架发展趋势简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-补充：Hub模块简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-线性回归DEMO-数据与参数配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-一张图通俗解释强化学习.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-强化学习的指导依据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-强化学习工作流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-强化学习AI游戏DEMO.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-应用领域简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-计算机眼中的状态与行为.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 Pycharm环境配置与Debug演示(没用过的同学必看).mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Critic的作用与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-参数与网络结构定义.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-参数迭代与更新.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-PPO2版本公式解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-奖励获得与计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-得到动作结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-OnPolicy与OffPolicy策略.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-策略梯度推导.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-基本情况介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-importance sampling的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-baseline方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-PPO算法整体思路解析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-与环境交互得到所需数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-要完成的目标分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 强化学习的基础原理与应用等.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-算法原理通俗解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-整体任务流程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-Qlearning算法实例解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-训练与更新.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-目标函数与公式解析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-DQN简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-计算target值.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-探索与action获取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-Q值迭代求解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-DoubleDqn要解决的问题.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-MultiSetp策略.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-连续动作处理方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Dueling整体网络架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-DuelingDqn改进方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-要计算的指标回顾.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-训练网络模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-初始化局部模型并加载参数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-整体流程与环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-启动游戏环境.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-与环境交互得到训练数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-AC算法回顾与知识点总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-优势函数解读与分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-A3C整体架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-计算流程实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-损失函数整理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-任务目标与流程概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-网络流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-论文思想与模型分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-项目配置解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-输出结果展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-缺陷检测效果演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据读取与基本处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-任务需求与环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-缺陷形态学操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-整体流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-dataloader加载数据集.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-Resnet网络前向传播.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-Resnet网络架构原理分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-网络整体流程与训练演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-残差网络的shortcut操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-特征图升维与降采样操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-医学疾病数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-视频数据读取与轮廓检测.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-缺陷区域提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-检测效果演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-不同类型的缺陷检测方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-视频数据遍历方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-目标质心计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据与任务概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-项目参数配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-标签转换格式脚本制作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-缺陷检测模型训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据与标签配置方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-各版本模型介绍分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-任务需求与项目概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-输出结果与项目总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-特征融合方法演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-模型效果验证.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-医学细胞数据集介绍与参数配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-迭代完成整个模型计算任务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Debug模式演示网络计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据增强工具.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-补充：R(2plus1)D处理方法分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-项目基本配置参数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-任务流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-补充：视频数据源特征处理方法概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-文献报告分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与任务概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-模型与算法配置参数解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-效果评估与展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-细胞检测效果演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-网络训练流程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-任务与细胞数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 2-NER标注数据处理与读取
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 1-命名实体识别数据分析与任务目标
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 3-构建BERT与CRF模型
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-ALBERT基本定义.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-BERT模型训练方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-ALBERT中的简化方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-DistilBert模型解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-RoBerta模型训练方法解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-源码的利用方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-开源项目应用方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与任务概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-github与kaggle中需要注意的点.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-训练模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-任务总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据集制作方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-数据路径配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-命名实体识别任务标注方法实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-标签处理并完成对齐操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-模型训练与输出结果预测.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-文本标注工具Doccano配置方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-预训练模型加载与参数配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-标注导出与BIO处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-Huggingface中的预处理实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据结构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据处理基本流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-NLP任务常规流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-数据Dataloader封装.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-transformer原理解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-文本切分方法实例解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-模型训练所需配置参数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-AttentionMask配套使用方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-模型训练DEMO.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据集与模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-工具包与任务整体介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-tfrecord数据源制作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-加入位置编码特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-数据预处理模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-加入额外编码特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-Embedding层的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-构建QKV矩阵.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-完成Transformer模块构建.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-训练BERT模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-BERT开源项目简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-项目参数配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据读取模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-mask机制的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Huggingface与NLP介绍解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-实体抽取模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-网络模型前向计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-标签与数据结构定义方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据处理与读取模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-模型构建与计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据标注格式样例分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-应用场景概述分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-关系抽取模型训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-预训练模型效果分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-文本数据截断处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-预训练模型自定义训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-BERT模型训练方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-注意力机制的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-位置编码与多层堆叠.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-训练实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-BERT任务目标概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-传统解决方案遇到的问题.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-Multi-head的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-特征分配与softmax机制.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-transformer整体架构梳理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-self-attention计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-BERT课程简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-中文分类数据与任务概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-训练BERT中文分类模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-读取处理自己的数据集.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-训练自己标注的数据并测试.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-中文商城评价数据处理方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-模型训练与测试结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-文本摘要数据标注方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-前向算法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-中文分词任务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-hmmlearn工具包.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-马尔科夫模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-前向算法求解实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-复杂度计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-暴力求解方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-维特比算法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-工具包使用方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-Baum-Welch算法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-隐马尔科夫模型基本出发点.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 14-实现中文分词.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-组成与要解决的问题.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-参数求解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-N-gram模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-开篇.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-负采样模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-语言模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-CBOW求解目标.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-锑度上升求解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-CBOW模型实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-Hierarchical Softmax.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-神经网络模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-词向量.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-基于tf-idf提取关键词信息.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-在线商城商品数据信息概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-商品类别划分方式.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-商品描述长度对价格的影响分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-商品类别可视化展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-通过降维进行可视化展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-聚类分析与主题模型展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-关键词的词云可视化展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-贝叶斯实现拼写检查器.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-新闻数据与任务简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-相似度计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-TF-IDF关键词提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-贝叶斯算法概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-贝叶斯拼写纠错实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-文本分析与关键词提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-基于贝叶斯算法进行新闻分类.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-贝叶斯推导实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-垃圾邮件过滤实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-LDA建模.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-常用函数介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-正则常用符号.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-结巴分词器.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-名字实体匹配.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 14-词云展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-数据清洗实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Python字符串处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-NLTK工具包简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-Spacy工具包.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-词性标注.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-统计分析结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-正则表达式基本语法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-停用词过滤.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-恐怖袭击分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Python字符串处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-正则表达式基本语法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-Spacy工具包.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-NLTK工具包简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-正则常用符号.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-常用函数介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-名字实体匹配.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-数据清洗实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-词性标注.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-停用词过滤.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 14-词云展示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-恐怖袭击分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-统计分析结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-结巴分词器.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-节点权重特征提取(PageRank).mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-deepwalk构建图顶点特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-图中联系人特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-各项统计特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-竞赛任务目标.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-图模型信息提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-app安装特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-创建关系边.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-加载所有实体数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-项目概述与整体架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-环境配置与所需工具包安装.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-打造医疗知识图谱模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-提取数据中的关键字段信息.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-任务流程概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-医疗数据介绍及其各字段含义.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-完成对话系统构建.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-实体关键词字典制作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据与任务介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-医疗数据集（糖尿病）实体识别.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-整体模型架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-输入样本填充补齐.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据-标签-语料库处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-训练网络模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-创建与删除操作演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-Neo4j数据库安装流程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-使用Py2neo建立连接.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-可视化例子演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-根据给定实体创建关系.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-在图中创建实体.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据库更改查询操作演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-提取所需的指标信息.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-Neo4j图数据库介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-DeepClustering论文解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-语音分离任务分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-TasNet编码器结构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-基于Mask得到分离结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-DW卷积的作用与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-经典语音分离模型概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-TeacherForcing的作用与训练策略.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-序列网络模型概述分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-工作原理概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-加入attention的序列模型整体架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-注意力机制的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-额外补充-RNN网络模型解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-图谱知识融合与总结分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-graph-embedding的作用与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-数据获取分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-金融领域图编码实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-数据关系抽取分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-常用NLP技术点分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-视觉领域图编码实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-知识图谱通俗解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-知识图谱在医疗领域应用实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-金融与推荐领域的应用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-知识图谱在搜索引擎中的应用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-pyltp安装与流程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-依存句法概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-句法分析结果整理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-语义角色构建与分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-LTP工具包概述介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-关系抽取要完成的任务演示与分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-设计规则完成关系抽取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-得到分词与词性标注结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-Pack与Pad操作解析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-加入注意力机制.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据源与环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-声音数据处理模块解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-制作json标注数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-解码器与训练过程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-语料表制作方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-计算得到每个输出的attention得分.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-编码器模块整体流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-解码得到分离后的语音.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-测试模块所需参数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-训练任务所需参数介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-构建更大的感受区域.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-编码器特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-DataLoader定义.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-采样数据特征编码.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据准备与环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-环境配置与工具包安装.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-下采样与上采样操作.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-数据预处理与声音特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-判别器模块解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-生成器构造模块解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-源码损失计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-starganvc2版本标签输入分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-论文损失函数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-测试模块-生成转换语音.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-生成器前向传播维度变化.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据与项目文件解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-编码层要完成的任务.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-语音合成项目所需环境配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-得到编码特征向量.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-路径配置与整体流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-Dataloader构建数据与标签.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-解码器流程梳理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-注意力机制应用方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-模型输出结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-得到加权的编码向量.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-损失函数与预测.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-解码器输入准备.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-所需数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-判别器模块分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-AdaIn的目的与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文整体思路与架构解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-生成器模型架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-InstanceNorm的作用解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-VCC2016输入数据.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-语音特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5.稀疏激活机制详解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3.链式思维（CoT）进阶.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6.SOTA模型架构精读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4.慢思考模型解析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2.工程化落地实践.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1.大模型架构生态论.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7.YOLO目标检测和实例分割.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5.SAM3自动分割图像.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4.MediaPipe人体姿态检测与关键点提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1.MediaPipe面部关键点检测与追踪.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8.yolo实战古籍上色.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2.图像融合与美瞳试戴.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6.sam3视频分割与追踪.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3.图像融合以及美瞳试戴2.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6.深度学习训练技巧与模型优化方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8.目标检测（二）单阶段检测方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3.图像特征提取与图像分类传统机器学习方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7.目标检测（一）两阶段检测方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5.经典CNN结构：AlexNet →VGG →GoogLeNet→ResNet.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2.图像处理基础.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1.CV的任务体系、发展历程及图像的数学基础.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4.神经网络发展历程与卷积神经网络的原理及训练方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-整体案例流程解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-剪枝模块介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-加入L1正则化来进行更新.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-剪枝后模型参数赋值.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-筛选需要的特征图.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-微调完成剪枝模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1.NLP基础任务体系与技术演进.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6.GPT 与 LLM 基础.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7.LoRA、P-Tuning原理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3.RNN序列建模与LSTMGRU门控机制详解.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5.预训练模型架构范式对比（BERT GPT T5）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4.Attention原理与Self-Attention内部计算！.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2.文本表示：从词袋模型到静态词向量.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-mobileOne（加速）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-SPD（可替换下采样）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-Attention额外加入先验知识.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 14-Coarse2Fine大框架.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-结合GNN构建局部特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 16-自己数据集如何发的好（要开源）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-Deformable（替换selfAttention）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 17-可变形卷积加入方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-ProbAttention（采样策略）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-ACMIX（卷积与注意力融合）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-自适应可学习参数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-CrossAttention融合特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 15-只能机器学习模型时凑工作量（特征工程）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 18-在源码中加入各种注意力机制方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-GCnet（全局特征融合）.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-损失函数约束项.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-SPP改进.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-Coordinate_attention.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-模型剪枝分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-参数与计算量的比较.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-V3版本网络架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-mobilenet简介.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-V2整体架构与效果分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-SE模块作用与效果解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-代码实现mobilenetV3网络架构.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-经典卷积计算量与参数量分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-倒残差结构的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-常见剪枝方法介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-深度可分离卷积的作用与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-V1版本效果分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-V2版本改进以及Relu激活函数的问题.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 知识蒸馏与简历相关.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-BN的本质作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文算法核心框架概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-稀疏化原理与效果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-额外的训练参数解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-BatchNorm要解决的问题.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-mask矩阵的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-整体项目总结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-得到一阶段热度图结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-初始化图卷积模型.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-图匹配模块计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-局部特征准备方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-基于拓扑结构组合关键点特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-邻接矩阵学习与更新.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-阶段监督训练.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与环境配置概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 模型部署.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-网络计算整体流程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-测试与验证模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-特征序列构建.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-局部特征提取实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-得到所有分组特征结果.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-特征组合汇总.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-项目配置与数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-数据源构建方法分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-debug模式解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-损失函数与训练过程演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-GCP全局特征提取.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-dataloader加载顺序解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12-损失函数计算实例解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文整体思想及注意力机制的作用解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-进入debug模式解读网络计算流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-融合空间注意力所需特征.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-组合关系特征图.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-基于特征图的注意力计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-项目环境与数据集配置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13-训练与测试模块演示.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-获得空间位置点之间的关系.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-计算得到位置权重值.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-参数配置与整体架构分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11-基于特征图的权重计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-空间权重值计算流程分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-关键点位置特征构建.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-图卷积模块实现方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-图匹配在行人重识别中的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-局部特征热度图计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-基于图卷积构建人体拓扑关系.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-整体算法框架分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-图卷积与匹配的作用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-检测与搜索.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-BackBone位置与流程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-总结概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-损失函数计算模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8-Head层预测模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-配置文件修改方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-通过配置文件读取模型位置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-数据与标签读取模块.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-Neck层操作方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-项目概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-特征分组方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-局部特征与全局关系计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-论文整体框架概述.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-GCP模块特征融合方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-oneVsReset方法实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-损失函数应用位置.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-评估标准rank1指标.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-map值计算方法.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-triplet损失计算实例.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-行人重识别要解决的问题.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-Hard-Negative方法应用.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-挑战与困难分析.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6-各位置点归属判断.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9-网络模型一阶段输出.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5-准备构建PAF躯干标签.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10-多阶段输出与预测.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2-读取图像与标注信息.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4-根据关键点位置设计关键点标签.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3-关键点与躯干特征图初始化.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1-数据集与路径配置解读.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7-特征图各点累加向量计算.mp4
下载地址:
**** Hidden Message ***** 谢分享，希望星颖一直运营下去，我会一直支持的！！！ 66666666 星颖官方直播语录：“我们觉得，做社群，得承担一部分责任，不仅仅是分享方法和技巧，更重要的是帮助星友们建立一些有利于每个人长期发展的价值观，比如真诚、利他、开放、长期主义等。” 真实踩坑比空讲道理更有价值。 今天的收获：把课程当字典反复看，每遍都有新收获，投资自己永不亏 星颖赚钱星颖花，一分都不带回家
页:
[1]