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01-课程介绍：AI进阶需要落地实战[防断更微lxknumber1].mp4
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02-内容综述：如何快速⾼效学习AI与TensorFlow2[防断更微lxknumber1].ts
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03-TensorFlow2新特性[防断更微lxknumber1].mp4
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04-TensorFlow2核心模块[防断更微lxknumber1].mp4
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05-TensorFlow2vsTensorFlow1.x[防断更微lxknumber1].mp4
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06-TensorFlow2落地应⽤[防断更微lxknumber1].ts
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07-TensorFlow2开发环境搭建[防断更微lxknumber1].mp4
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08-TensorFlow2数据导入与使⽤[防断更微lxknumber1].ts
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09-使用tf.keras.datasets加载数据[防断更微lxknumber1].mp4
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10-使用tf.keras管理Sequential模型[防断更微lxknumber1].mp4
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11-使用tf.keras管理functionalAPI[防断更微lxknumber1].mp4
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12-FashionMNIST数据集介绍[防断更微lxknumber1].mp4
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13-使用TensorFlow2训练分类网络[防断更微lxknumber1].mp4
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14-行业背景：AI新零售是什么[防断更微lxknumber1].mp4
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15-用户需求：线下门店业绩如何提升？[防断更微lxknumber1].mp4
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16-长期⽬标：货架数字化与业务智能化[防断更微lxknumber1].ts
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17-短期目标：自动化陈列审核和促销管理[防断更微lxknumber1].mp4
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18-方案设计：基于深度学习的检测-分类的AI流水线[防断更微lxknumber1].mp4
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19-方案交付：支持在线识别和API调用的AISaaS[防断更微lxknumber1].mp4
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20-基础：目标检测问题定义与说明[防断更微lxknumber1].mp4
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21-基础：深度学习在目标检测中的应用[防断更微lxknumber1].mp4
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22-理论：R-CNN系列二阶段模型综述[防断更微lxknumber1].mp4
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23-理论：YOLO系列一阶段模型概述[防断更微lxknumber1].mp4
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24-应用：RetinaNet与FacolLoss带来了什么[防断更微lxknumber1].mp4
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25-应用：检测数据标注方法与流程[防断更微lxknumber1].mp4
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26-应用：划分检测训练集与测试集[防断更微lxknumber1].mp4
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27-应用：生成CSV格式数据集与标注[防断更微lxknumber1].mp4
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28-应用：使用TensorFlow2训练RetinaNet[防断更微lxknumber1].mp4
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29-应用：使用RetinaNet检测货架商品[防断更微lxknumber1].mp4
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30-扩展：目标检测常用数据集综述[防断更微lxknumber1].mp4
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31-扩展：目标检测更多应用场景介绍[防断更微lxknumber1].mp4
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32-基础：图像分类问题定义与说明[防断更微lxknumber1].mp4
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33-基础：越来越深的图像分类网络[防断更微lxknumber1].mp4
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34-应⽤：检测SKU抠图与分类标注流程[防断更微lxknumber1].ts
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35-应⽤：分类训练集与验证集划分[防断更微lxknumber1].ts
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36-应⽤：使⽤TensorFlow2训练ResNet[防断更微lxknumber1].ts
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37-应用：使用ResNet识别货架商品[防断更微lxknumber1].mp4
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38-扩展：图像分类常用数据集综述[防断更微lxknumber1].mp4
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39-扩展：图像分类更多应⽤场景介绍[防断更微lxknumber1].ts
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40-串联AI流程理论：商品检测与商品识别[防断更微lxknumber1].mp4
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41-串联AI流程实战：商品检测与商品识别[防断更微lxknumber1].mp4
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42-展现AI效果理论：使用OpenCV可视化识别结果[防断更微lxknumber1].mp4
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43-展现AI效果实战：使用OpenCV可视化识别结果[防断更微lxknumber1].mp4
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44-搭建AISaaS理论：Web框架选型[防断更微lxknumber1].mp4
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45-搭建AISaaS理论：数据库ORM选型[防断更微lxknumber1].mp4
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46-搭建AISaaS理论：10分钟快速开发AISaaS[防断更微lxknumber1].mp4
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47-搭建AISaaS实战：10分钟快速开发AISaaS[防断更微lxknumber1].mp4
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48-交付AISaaS：10分钟快速掌握容器部署[防断更微lxknumber1].mp4
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49-交付AISaaS：部署和测试AISaaS[防断更微lxknumber1].mp4
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50-使⽤TensorFlow2实现图像数据增强[防断更微lxknumber1].ts
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51-使⽤TensorFlow2实现分布式训练[防断更微lxknumber1].ts
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52-使⽤TensorFlowHub迁移学习[防断更微lxknumber1].ts
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53-使⽤@tf.function提升性能[防断更微lxknumber1].ts
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54-使⽤TensorFlowServing部署云端服务[防断更微lxknumber1].ts
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55-使⽤TensorFlowLite实现边缘智能[防断更微lxknumber1].ts
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56-结束语[防断更微lxknumber1].mp4
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