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01-课程介绍[防断更微lxknumber1].ts
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02-课程内容综述[防断更微lxknumber1].ts
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03-第一章内容概述[防断更微lxknumber1].ts
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04-TensorFlow产生的历史必然性[防断更微lxknumber1].ts
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05-TensorFlow与JeffDean的那些事[防断更微lxknumber1].ts
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06-TensorFlow的应用场景[防断更微lxknumber1].ts
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07-TensorFlow的落地应用[防断更微lxknumber1].ts
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08-TensorFlow的发展现状[防断更微lxknumber1].ts
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09-第二章内容概述[防断更微lxknumber1].ts
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10-搭建你的TensorFlow开发环境[防断更微lxknumber1].ts
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11-HelloTensorFlow[防断更微lxknumber1].ts
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12-在交互环境中使用TensorFlow[防断更微lxknumber1].ts
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13-在容器中使用TensorFlow[防断更微lxknumber1].ts
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14-第三章内容概述[防断更微lxknumber1].ts
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15-TensorFlow模块与架构介绍[防断更微lxknumber1].ts
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16-TensorFlow数据流图介绍[防断更微lxknumber1].ts
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17-张量（Tensor）是什么（上）[防断更微lxknumber1].ts
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18-张量（Tensor）是什么（下）[防断更微lxknumber1].ts
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19-变量（Variable）是什么（上）[防断更微lxknumber1].ts
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20-变量（Variable）是什么（下）[防断更微lxknumber1].ts
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21-操作（Operation）是什么（上）[防断更微lxknumber1].ts
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22-操作（Operation）是什么（下）[防断更微lxknumber1].ts
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23-会话（Session）是什么[防断更微lxknumber1].ts
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24-优化器（Optimizer）是什么[防断更微lxknumber1].ts
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25-第四章内容概述[防断更微lxknumber1].ts
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26-房价预测模型的前置知识[防断更微lxknumber1].ts
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27-房价预测模型介绍[防断更微lxknumber1].ts
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28-房价预测模型之数据处理[防断更微lxknumber1].ts
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29-房价预测模型之创建与训练[防断更微lxknumber1].ts
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30-TensorBoard可视化工具介绍[防断更微lxknumber1].ts
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31-使用TensorBoard可视化数据流图[防断更微lxknumber1].ts
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32-实战房价预测模型：数据分析与处理[防断更微lxknumber1].ts
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33-实战房价预测模型：创建与训练[防断更微lxknumber1].ts
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34-实战房价预测模型：可视化数据流图[防断更微lxknumber1].ts
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35-第五章内容概述[防断更微lxknumber1].ts
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36-手写体数字数据集MNIST介绍（上）[防断更微lxknumber1].ts
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37-手写体数字数据集MNIST介绍（下）[防断更微lxknumber1].ts
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38-MNISTSoftmax网络介绍（上）[防断更微lxknumber1].ts
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39-MNISTSoftmax网络介绍（下）[防断更微lxknumber1].ts
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40-实战MNISTSoftmax网络（上）[防断更微lxknumber1].ts
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41-实战MNISTSoftmax网络（下）[防断更微lxknumber1].ts
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42-MNISTCNN网络介绍[防断更微lxknumber1].ts
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43-实战MNISTCNN网络[防断更微lxknumber1].ts
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44-第六章内容概述[防断更微lxknumber1].ts
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45-准备模型开发环境[防断更微lxknumber1].ts
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46-生成验证码数据集[防断更微lxknumber1].ts
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47-输入与输出数据处理[防断更微lxknumber1].ts
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48-模型结构设计[防断更微lxknumber1].ts
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49-模型损失函数设计[防断更微lxknumber1].ts
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50-模型训练过程分析[防断更微lxknumber1].ts
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51-模型部署与效果演示[防断更微lxknumber1].ts
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52-第七部分内容介绍[防断更微lxknumber1].ts
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53-人脸识别问题概述[防断更微lxknumber1].ts
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54-典型人脸相关数据集介绍[防断更微lxknumber1].ts
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55-人脸检测算法介绍[防断更微lxknumber1].ts
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56-人脸识别算法介绍[防断更微lxknumber1].ts
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57-人脸检测工具介绍[防断更微lxknumber1].ts
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58-解析FaceNet人脸识别模型[防断更微lxknumber1].ts
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59-实战FaceNet人脸识别模型[防断更微lxknumber1].ts
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60-测试与可视化分析[防断更微lxknumber1].ts
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61-番外篇内容介绍[防断更微lxknumber1].ts
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62-TensorFlow社区介绍[防断更微lxknumber1].ts
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63-TensorFlow生态：TFX[防断更微lxknumber1].ts
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64-TensorFlow生态：Kubeflow[防断更微lxknumber1].ts
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65-如何参与TensorFlow社区开源贡献[防断更微lxknumber1].ts
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66-MLGDE是TensorFlow社区与开发者的桥梁[防断更微lxknumber1].ts
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67-课程总结[防断更微lxknumber1].ts
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