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README.md

@@ -1,50 +1,56 @@
 # 深度学习入门指南
 基于TensorFlow2 + Keras讲解深度学习入门指南。  
 
+## 注意
+如果通过Github站内超链接打开Jupyter Notebook文件发生错误，可以点击根据 https://nbviewer.org 生成的“备用链接”间接访问对应文件。  
+或者通过以下链接访问整个项目的站外备用链接，注意点击站外备用链接里的非Jupyter Notebook格式文件会跳转回到Github仓库内：  
+●  [**Deep_Learning_TensorFlow2_Examples**](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/tree/master/)  
+
+
 ## 张量 
-●  [张量](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_01_Tensors.ipynb)   
-●  [变量](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_02_Variables.ipynb)   
-●  [自动微分](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_03_Automatic_differentiation.ipynb)  
+●  [**张量**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_01_Tensors.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/01_TensorFlow_basics/01_01_Tensors.ipynb)]  
+●  [**变量**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_02_Variables.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/01_TensorFlow_basics/01_02_Variables.ipynb)]     
+●  [**自动微分**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_03_Automatic_differentiation.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/01_TensorFlow_basics/01_03_Automatic_differentiation.ipynb)]    
 ●  图和函数简介  
-●  [模块、层和模型简介](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_05_Modules_layers_and_models.ipynb)  
-●  [训练循环](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_06_Training_loops.ipynb)  
+●  [**模块、层和模型简介**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_05_Modules_layers_and_models.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/01_TensorFlow_basics/01_05_Modules_layers_and_models.ipynb)]    
+●  [**训练循环**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/01_TensorFlow_basics/01_06_Training_loops.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/01_TensorFlow_basics/01_06_Training_loops.ipynb)]    
 ●  高级自动微分  
 ●  不规则张量  
-●  [稀疏张量](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/04_TensorFlow_in_depth/04_04_Sparse_tensor.ipynb)  
+●  [**稀疏张量**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/04_TensorFlow_in_depth/04_04_Sparse_tensor.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/04_TensorFlow_in_depth/04_04_Sparse_tensor.ipynb)]    
 ●  Numpy API  
 ●  Tensor切片  
 
 ## Keras
-●  [Sequential模型](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_01_The_sequential_model.ipynb)  
-●  [Functional API](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_02_The_functional_API.ipynb)  
-●  [使用内置方法进行训练和评估](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_03_Training_evaluation_with_the_built_in_methods.ipynb)  
+●  [**Sequential模型**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_01_The_sequential_model.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_01_The_sequential_model.ipynb)]    
+●  [**Functional API**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_02_The_functional_API.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_02_The_functional_API.ipynb)]    
+●  [**使用内置方法进行训练和评估**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_03_Training_evaluation_with_the_built_in_methods.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_03_Training_evaluation_with_the_built_in_methods.ipynb)]    
 ●  通过子类化构建新层和模型  
-●  [保存并加载Keras模型](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_05_Serialization_and_saving.ipynb)  
-●  [使用预处理层](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_07_Working_with_preprocessing_layers.ipynb)  
-●  [自定义Model.fit的操作流程](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_08_Customizing_what_happens_in_fit.ipynb)  
-●  [从头开始编写训练循环](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_09_Writing_a_training_loop_from_scratch.ipynb)  
+●  [**保存并加载Keras模型**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_05_Serialization_and_saving.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_05_Serialization_and_saving.ipynb)]    
+●  [**使用预处理层**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_07_Working_with_preprocessing_layers.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_07_Working_with_preprocessing_layers.ipynb)]    
+●  [**自定义Model.fit的操作流程**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_08_Customizing_what_happens_in_fit.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_08_Customizing_what_happens_in_fit.ipynb)]    
+●  [**从头开始编写训练循环**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_09_Writing_a_training_loop_from_scratch.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_09_Writing_a_training_loop_from_scratch.ipynb)]    
 ●  采用Keras的循环神经网络（RNN）  
-●  [采用Keras进行遮盖和填充](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_11_Understading_masking_and_padding.ipynb)  
+●  [**采用Keras进行遮盖和填充**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/02_Keras/02_11_Understading_masking_and_padding.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/02_Keras/02_11_Understading_masking_and_padding.ipynb)]    
 ●  自动编写回调  
 ●  迁移学习和微调  
 ●  使用TensorFlow Cloud训练Keras模型  
 
 ## TensorFlow Core
-●  [TensorFlow Core API 快速入门](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/03_Build_with_Core/03_01_Quickstart_for_core.ipynb)  
-●  [使用 Core API 进行二元分类的逻辑回归](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/03_Build_with_Core/03_02_Logistic_regression.ipynb)  
+●  [**TensorFlow Core API 快速入门**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/03_Build_with_Core/03_01_Quickstart_for_core.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/03_Build_with_Core/03_01_Quickstart_for_core.ipynb)]    
+●  [**使用 Core API 进行二元分类的逻辑回归**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/03_Build_with_Core/03_02_Logistic_regression.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/03_Build_with_Core/03_02_Logistic_regression.ipynb)]    
 
 ## 自定义
 ●  创建操作  
 ●  生成随机数字  
 
 ## 数据输入流水线
-●  [tf.data](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/06_Data_input_pipelines/06_01_tfdata.ipynb)  
+●  [**tf.data**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/06_Data_input_pipelines/06_01_tfdata.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/06_Data_input_pipelines/06_01_tfdata.ipynb)]    
 ●  优化流水线性能  
 ●  分析流水线性能  
 
 ## 保存模型
-●  [Checkpoint](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/07_Import_and_export/07_01_Checkpoint.ipynb)  
-●  [SavedModel](https://github.com/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/07_Import_and_export/07_02_SaveModel.ipynb) 
+●  [**Checkpoint**](https://github.com/solidglue/TensorFlow2_Keras_Guide_API_Jupyter_Demo/blob/master/07_Import_and_export/07_01_Checkpoint.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/07_Import_and_export/07_01_Checkpoint.ipynb)]    
+●  [**SavedModel**](https://github.com/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/07_Import_and_export/07_02_SaveModel.ipynb)       [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Deep_Learning_TensorFlow2_Examples/blob/master/07_Import_and_export/07_02_SaveModel.ipynb)]   
 
 ## 加速器
 ●  分布式训练  
@@ -65,6 +71,9 @@
 ●  高级模型服务器配置  
 
 
+## 扩展
+基于TensorFlow2实现YouTuBe推荐系统排序模型 - 以"DNN_for_YouTube_Recommendations"模型和电影评分数据集（ml-1m）为基础，详尽的展示了如何基于TensorFlow2训练推荐系统排序模型。  
+● [**YouTube深度排序模型(多值embedding、多目标学习)**](https://github.com/solidglue/DNN_for_YouTube_Recommendations)