2020-12-29 22:46:10

SUMMARY.md

@@ -261,3 +261,74 @@
     +   [十、构建类似 AlphaZero 的手机游戏应用](docs/intel-mobi-proj-tf/10.md)
     +   [十一、在移动设备上使用 TensorFlow Lite 和 Core ML](docs/intel-mobi-proj-tf/11.md)
     +   [十二、在 Raspberry Pi 上开发 TensorFlow 应用](docs/intel-mobi-proj-tf/12.md)
++   [TensorFlow 和 Keras 应用开发入门](docs/begin-app-dev-tf-keras/README.md)
+    +   [零、前言](docs/begin-app-dev-tf-keras/0.md)
+    +   [一、神经网络和深度学习简介](docs/begin-app-dev-tf-keras/1.md)
+    +   [二、模型架构](docs/begin-app-dev-tf-keras/2.md)
+    +   [三、模型评估和优化](docs/begin-app-dev-tf-keras/3.md)
+    +   [四、产品化](docs/begin-app-dev-tf-keras/4.md)
++   [TensorFlow 图像深度学习实用指南](docs/handson-dl-img-tf/README.md)
+    +   [零、前言](docs/handson-dl-img-tf/0.md)
+    +   [一、机器学习工具包](docs/handson-dl-img-tf/1.md)
+    +   [二、图片数据](docs/handson-dl-img-tf/2.md)
+    +   [三、经典神经网络](docs/handson-dl-img-tf/3.md)
++   [Python 元学习实用指南](docs/handson-meta-learn-py/README.md)
+    +   [零、前言](docs/handson-meta-learn-py/00.md)
+    +   [一、元学习导论](docs/handson-meta-learn-py/01.md)
+    +   [二、使用连体网络的人脸和音频识别](docs/handson-meta-learn-py/02.md)
+    +   [三、原型网络及其变体](docs/handson-meta-learn-py/03.md)
+    +   [四、使用 TensorFlow 的关系和匹配网络](docs/handson-meta-learn-py/04.md)
+    +   [五、记忆增强神经网络](docs/handson-meta-learn-py/05.md)
+    +   [六、MAML 及其变体](docs/handson-meta-learn-py/06.md)
+    +   [七、元 SGD 和 Reptile](docs/handson-meta-learn-py/07.md)
+    +   [八、作为优化目标的梯度一致性](docs/handson-meta-learn-py/08.md)
+    +   [九、最新进展和后续步骤](docs/handson-meta-learn-py/09.md)
+    +   [十、答案](docs/handson-meta-learn-py/10.md)
++   [Python 强化学习实用指南](docs/handson-rl-py/README.md)
+    +   [零、前言](docs/handson-rl-py/00.md)
+    +   [一、强化学习导论](docs/handson-rl-py/01.md)
+    +   [二、OpenAI 和 TensorFlow 入门](docs/handson-rl-py/02.md)
+    +   [三、马尔可夫决策过程与动态规划](docs/handson-rl-py/03.md)
+    +   [四、用于游戏的蒙特卡洛方法](docs/handson-rl-py/04.md)
+    +   [五、时间差异学习](docs/handson-rl-py/05.md)
+    +   [六、多臂老虎机问题](docs/handson-rl-py/06.md)
+    +   [七、深度学习基础](docs/handson-rl-py/07.md)
+    +   [八、深度 Q 网络和 Atari 游戏](docs/handson-rl-py/08.md)
+    +   [九、用深度循环 Q 网络玩《毁灭战士》](docs/handson-rl-py/09.md)
+    +   [十、异步优势演员评论家网络](docs/handson-rl-py/10.md)
+    +   [十一、策略梯度和优化](docs/handson-rl-py/11.md)
+    +   [十二、Capstone 项目 – 将 DQN 用于赛车](docs/handson-rl-py/12.md)
+    +   [十三、最新进展和后续步骤](docs/handson-rl-py/13.md)
+    +   [十四、答案](docs/handson-rl-py/14.md)
++   [Python 智能项目](docs/intel-proj-py/README.md)
+    +   [零、前言](docs/intel-proj-py/00.md)
+    +   [一、人工智能系统的基础](docs/intel-proj-py/01.md)
+    +   [二、迁移学习](docs/intel-proj-py/02.md)
+    +   [三、神经机器翻译](docs/intel-proj-py/03.md)
+    +   [四、使用 GAN 的时尚行业样式迁移](docs/intel-proj-py/04.md)
+    +   [五、视频字幕应用](docs/intel-proj-py/05.md)
+    +   [六、智能推荐系统](docs/intel-proj-py/06.md)
+    +   [七、电影评论情感分析移动应用](docs/intel-proj-py/07.md)
+    +   [八、用于客户服务的会话式 AI 聊天机器人](docs/intel-proj-py/08.md)
+    +   [九、使用强化学习的自主无人驾驶汽车](docs/intel-proj-py/09.md)
+    +   [十、深度学习视角的验证码](docs/intel-proj-py/10.md)
++   [精通 Sklearn 和 TensorFlow 预测性分析](docs/master-pred-anal-sklearn-tf/README.md)
+    +   [零、前言](docs/master-pred-anal-sklearn-tf/0.md)
+    +   [一、回归和分类的集成方法](docs/master-pred-anal-sklearn-tf/1.md)
+    +   [二、交叉验证和参数调整](docs/master-pred-anal-sklearn-tf/2.md)
+    +   [三、使用特征](docs/master-pred-anal-sklearn-tf/3.md)
+    +   [四、人工神经网络和 TensorFlow 简介](docs/master-pred-anal-sklearn-tf/4.md)
+    +   [五、将 TensorFlow 和深度神经网络用于预测分析](docs/master-pred-anal-sklearn-tf/5.md)
++   [TensorFlow 2.0 的新增功能](docs/whats-new-tf2/README.md)
+    +   [零、前言](docs/whats-new-tf2/0.md)
+    +   [第 1 部分：TensorFlow 2.0 - 架构和 API 更改](docs/whats-new-tf2/pt1.md)
+        +   [一、TensorFlow 2.0 入门](docs/whats-new-tf2/1.md)
+        +   [二、Keras 默认集成和急切执行](docs/whats-new-tf2/2.md)
+    +   [第 2 部分：TensorFlow 2.0 - 数据和模型训练管道](docs/whats-new-tf2/pt2.md)
+        +   [三、设计和构建输入数据管道](docs/whats-new-tf2/3.md)
+        +   [四、TensorBoard 的模型训练和使用](docs/whats-new-tf2/4.md)
+    +   [第 3 部分：TensorFlow 2.0 - 模型推断和部署以及 AIY](docs/whats-new-tf2/pt3.md)
+        +   [五、模型推理管道 - 多平台部署](docs/whats-new-tf2/5.md)
+        +   [六、AIY 项目和 TensorFlow Lite](docs/whats-new-tf2/6.md)
+    +   [第 4 部分：TensorFlow 2.0 - 迁移，总结](docs/whats-new-tf2/pt4.md)
+        +   [七、从 TensorFlow 1.x 迁移到 2.0](docs/whats-new-tf2/7.md)