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https://github.com/zht007/tensorflow-practice

Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.
https://github.com/zht007/tensorflow-practice
machine-learning tensorflow tensorflow-examples tensorflow-tutorials tutorial
Last synced: 2 days ago
JSON representation
Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.
Host: GitHub
URL: https://github.com/zht007/tensorflow-practice
Owner: zht007
License: mit
Created: 2019-03-11T11:51:46.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2020-11-22T18:18:21.000Z (almost 4 years ago)
Last Synced: 2024-09-27T21:02:30.305Z (about 2 months ago)
Topics: machine-learning, tensorflow, tensorflow-examples, tensorflow-tutorials, tutorial
Language: Jupyter Notebook
Homepage:
Size: 32.7 MB
Stars: 112
Watchers: 4
Forks: 63
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

README

        # Overview

This repository provides data source, Jupyter notebooks for machine learning projects. Each folder corresponds to one project or data sets. General notes about machine learning and TensorFlow are collected in the folder "0_Notes_for_Tensorflow".  You can click [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]()to open the notebook in Colab and exclude the code there directly.

Quick links of the projects are (with constant updates):

[1_Linear_Regression](https://github.com/zht007/tensorflow-practice/tree/master/1_Linear_Regression)

[2_Classification_Pima_Indians_Diabetes](https://github.com/zht007/tensorflow-practice/tree/master/2_Classification_Pima_Indians_Diabetes)

[3_Classification_Census_Data](https://github.com/zht007/tensorflow-practice/tree/master/3_Classification_Census_Data)

[4_Clasification_DigitRecognizer](https://github.com/zht007/tensorflow-practice/tree/master/4_Clasification_DigitRecognizer)

[5_Prediction_MilkProdction](https://github.com/zht007/tensorflow-practice/tree/master/5_Prediction_MilkProdction)

[6_Renforcement_Learning_Gridword](https://github.com/zht007/tensorflow-practice/tree/master/6_Renforcement_Learning_Gridword)

[7_Renforcement_Learning_blackjack](https://github.com/zht007/tensorflow-practice/tree/master/7_Renforcement_Learning_blackjack)

[8_Renforcement_Learning_Clif_Env](https://github.com/zht007/tensorflow-practice/tree/master/8_Renforcement_Learning_Clif_Env)

[9_Renforcement_Learning_CartPole](https://github.com/zht007/tensorflow-practice/tree/master/9_Renforcement_Learning_CartPole)

[10_Renforcement_Learning_Moutain_Car](https://github.com/zht007/tensorflow-practice/tree/master/10_Renforcement_Learning_Moutain_Car)

[11_Transfer_Learing](https://github.com/zht007/tensorflow-practice/tree/master/11_Transfer_Learning)

[12_Classification_CIFAR](https://github.com/zht007/tensorflow-practice/tree/master/12_Classification_CIFAR)

[13_Classification_Reuters](https://github.com/zht007/tensorflow-practice/tree/master/13_Classification_Reuters)

[14_Classification_fasion_MINST](https://github.com/zht007/tensorflow-practice/tree/master/14_Classification_fasion_MINST)

All codes are written in Python 3 on Jupyter Notebooks, with detailed notes and comments in English. Tensorflow tutorials for Chinease readers are provided.

If you like this repository please follow me on my [Steemit](https://steemit.com/@hongtao) or [Jianshu](https://www.jianshu.com/).

----

For Chinese Readers:

本项目旨在通过项目实战的方式向读者介绍如何使用Tensorfow进行机器学习，每一个目录对应着一个项目或者一个训练数据集。一般性的学习笔记放在了"0_Notes_for_Tensorflow".目录。

所有的代码都是在Jupyter Notebook上用Python 3写成，详细的英文笔记和注释也都附在了Jupyter Notebook中。对于代码的解释以及Tensorflow的入门，我写成了中文教程。如果喜欢我的教程，欢迎关注我的 [Steemit](https://steemit.com/@hongtao) 或者 [简书](https://www.jianshu.com/)

也欢迎关注我的微信公众号**tensorflow机器学习**，共同学习，一起进步。

![](https://ws2.sinaimg.cn/large/006tKfTcgy1g1oq6xu1iaj307607674q.jpg)

---

## Table of Contents 

### [0_Notes_for_Tensorflow](https://github.com/zht007/tensorflow-practice/tree/master/0_Notes_for_Tensorflow)

[AI学习笔记——Tensorflow入门](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/AI%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0%E2%80%94%E2%80%94Tensorflow%E5%85%A5%E9%97%A8.md)

[AI学习笔记——机器学习中易混淆术语解析](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/AI%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0%E2%80%94%E2%80%94%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%AD%E6%98%93%E6%B7%B7%E6%B7%86%E6%9C%AF%E8%AF%AD%E8%A7%A3%E6%9E%90.md)

[AI学习笔记——神经网络和深度学习](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/AI学习笔记——神经网络和深度学习.md)

[AI学习笔记——精准识别You Only Look Once(YOLO)](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/AI学习笔记——精准识别You_Only_Look_Once(YOLO).md)

[Tensorflow入门——处理overfitting的问题](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94%E5%A4%84%E7%90%86overfitting%E7%9A%84%E9%97%AE%E9%A2%98.md)

[免费使用Google的GPU和TPU来训练你的模型](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/%E5%85%8D%E8%B4%B9%E4%BD%BF%E7%94%A8Google%E7%9A%84GPU%E5%92%8CTPU%E6%9D%A5%E8%AE%AD%E7%BB%83%E4%BD%A0%E7%9A%84%E6%A8%A1%E5%9E%8B.md)

[深入理解Numpy和Tensorflow中的Axis操作](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/深入理解Numpy和Tensorflow中的Axis操作.md)

[Tensorflow2.0——与Keras 的深度融合](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/Tensorflow2.0——与Keras的深度融合.md)

[Tensorflow_2_0_Tutorial_data_loading.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/Tensorflow_2_0_Tutorial_data_loading.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/Tensorflow_2_0_Tutorial_data_loading.ipynb)

[Tensorflow2.0-数据加载和预处理.md](https://github.com/zht007/tensorflow-practice/blob/master/0_Notes_for_Tensorflow/Tensorflow2.0-数据加载和预处理.md)

----

### [1_Linear_Regression](https://github.com/zht007/tensorflow-practice/tree/master/1_Linear_Regression)

[1-LinearRegression.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/01-LinearRegression.ipynb)  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/1_Linear_Regression/01-LinearRegression.ipynb)

[Tensorflow入门——线性回归](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92.md)

[2-RegressionBatchKeras.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/02-RegressionBatchKeras.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/1_Linear_Regression/02-RegressionBatchKeras.ipynb)

[Tensorflow入门——Keras简介和上手](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94Keras%E7%AE%80%E4%BB%8B%E5%92%8C%E4%B8%8A%E6%89%8B.md)

[3-Regression_TF_eager_api.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/03-Regression_TF_eager_api.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/1_Linear_Regression/03-Regression_TF_eager_api.ipynb)

[Tensorflow入门——Eager模式像原生python一样训练模型.md](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/Tensorflow入门——Eager模式像原生python一样训练模型.md)

[4_Regression_TF_2_0.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/04_Regression_TF_2_0.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/1_Linear_Regression/04_Regression_TF_2_0.ipynb)

[Tensorflow 2.0 快速入门 —— 自动求导与线性回归](https://github.com/zht007/tensorflow-practice/blob/master/1_Linear_Regression/Tensorflow2.0快速入门——自动求导与线性回归.md)

### [2_Classification_Pima_Indians_Diabetes](https://github.com/zht007/tensorflow-practice/tree/master/2_Classification_Pima_Indians_Diabetes)

[1-KerasClassification.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/1-KerasClassification.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/1-KerasClassification.ipynb)

[Tensorflow入门——Keras处理分类问题](https://github.com/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94Keras%E5%A4%84%E7%90%86%E5%88%86%E7%B1%BB%E9%97%AE%E9%A2%98.md)

[2-TensorflowClassification.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/2-TensorflowClassification.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/2-TensorflowClassification.ipynb)

[Tensorflow入门——Tensorflow处理分类问题](https://github.com/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94Tensorflow%E5%A4%84%E7%90%86%E5%88%86%E7%B1%BB%E9%97%AE%E9%A2%98.md)

[3-KerasClassification-with-Regularization-dropout](https://github.com/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/3-KerasClassification-with-Regularization-dropout.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/2_Classification_Pima_Indians_Diabetes/3-KerasClassification-with-Regularization-dropout.ipynb)

### [3_Classification_Census_Data](https://github.com/zht007/tensorflow-practice/tree/master/3_Classification_Census_Data)

[1-Classification-keras-census.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/3_Classification_Census_Data/1-Classification-keras-census.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/3_Classification_Census_Data/1-Classification-keras-census.ipynb)

### [4_Clasification_DigitRecognizer](https://github.com/zht007/tensorflow-practice/tree/master/4_Clasification_DigitRecognizer)

[1_DL_One_Layer_NN_for_DigitRecognizer.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/1_DL_One_Layer_NN_for_DigitRecognizer.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/1_DL_One_Layer_NN_for_DigitRecognizer.ipynb)

[Tensorflow入门——单层神经网络MNIST手写数子识别](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94%E5%8D%95%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CMNIST%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB.md)

[2_DL_Multi_Layer_NN_for_DigitRecognizer.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/2_DL_Multi_Layer_NN_for_DigitRecognizer.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/2_DL_Multi_Layer_NN_for_DigitRecognizer.ipynb)

[Tensorflow入门——多层神经网络MNIST手写数子识别](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94%E5%A4%9A%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CMNIST%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB.md)

[3_DL_Multi_Layer_CNN_for_DigitRecognizer.ipnb](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/3_DL_Multi_Layer_CNN_for_DigitRecognizer.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/3_DL_Multi_Layer_CNN_for_DigitRecognizer.ipynb)

[Tensorflow入门——卷积神经网络MNIST手写数子识别](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CMNIST%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB.md)

[4_DL_Multi_Layer_CNN_for_DigitRecognizer_with_tensorboard.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/4_DL_Multi_Layer_CNN_for_DigitRecognizer_with_tensorboard.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/4_DL_Multi_Layer_CNN_for_DigitRecognizer_with_tensorboard.ipynb)

[两步轻松实现在Keras中使用Tensorboard.](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/两步轻松实现在Keras中使用Tensorboard.md)

[5_DL_Multi_Layer_CNN_for_DigitRecognizer_with_various_parameters](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/5_DL_Multi_Layer_CNN_for_DigitRecognizer_with_various_parameters.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/5_DL_Multi_Layer_CNN_for_DigitRecognizer_with_various_parameters.ipynb)

[利用Tensorboard辅助模型调参](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/利用Tensorboard辅助模型调参.md)

[6_DL_Multi_Layer_CNN_for_DigitRecognizer_TF_2.0](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/6_DL_Multi_Layer_CNN_for_DigitRecognizer_TF2_0.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/6_DL_Multi_Layer_CNN_for_DigitRecognizer_TF2_0.ipynb)

[Tensorflow_2.0_快速入门——引入Keras自定义模型](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/Tensorflow_2.0_快速入门——引入Keras自定义模型.md)

[7_DL_Multi_Layer_CNN_for_DigitRecognizer_TF2_0_with_Tensorboard.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/7_DL_Multi_Layer_CNN_for_DigitRecognizer_TF2_0_with_Tensorboard.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/7_DL_Multi_Layer_CNN_for_DigitRecognizer_TF2_0_with_Tensorboard.ipynb)

[Tensorflow2.0——可视化工具Tensorboard](https://github.com/zht007/tensorflow-practice/blob/master/4_Clasification_DigitRecognizer/Tensorflow2.0——可视化工具Tensorboard.md)

### [5_Prediction_MilkProdction](https://github.com/zht007/tensorflow-practice/tree/master/5_Prediction_MilkProdction)

[1_RNN_Many_to_One_Keras.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/1_RNN_Many_to_One_Keras.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/1_RNN_Many_to_One_Keras.ipynb)

[Tensorflow入门——RNN预测牛奶产量](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/Tensorflow%E5%85%A5%E9%97%A8%E2%80%94%E2%80%94RNN%E9%A2%84%E6%B5%8B%E7%89%9B%E5%A5%B6%E4%BA%A7%E9%87%8F.md)

[2_RNN_Many_to_Many_Keras.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/2_RNN_Many_to_Many_Keras.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/2_RNN_Many_to_Many_Keras.ipynb)

[3_RNN_Many_to_Many_Stateful_Keras.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/3_RNN_Many_to_Many_Stateful_Keras.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/3_RNN_Many_to_Many_Stateful_Keras.ipynb)

[Tensorflow入门——改进RNN预测牛奶产量](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/Tensorflow入门——改进RNN预测牛奶产量.md)

 [4_RNN_Many_to_One_TF2_0.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/4_RNN_Many_to_One_TF2_0.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/4_RNN_Many_to_One_TF2_0.ipynb)

 [Tensorflow 2.0 快速入门 —— RNN 预测牛奶产量](https://github.com/zht007/tensorflow-practice/blob/master/5_Prediction_MilkProdction/Tensorflow2.0快速入门——RNN预测牛奶产量.md) 

### [6_Renforcement_Learning_Gridword](https://github.com/zht007/tensorflow-practice/tree/master/6_Renforcement_Learning_Gridword)

[1_Policy_Evaluation.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/1_Policy_Evaluation.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/1_Policy_Evaluation.ipynb)

[2_Policy_Iteration.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/2_Policy_Iteration.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/2_Policy_Iteration.ipynb)

[3_Value_Iteration.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/3_Value_Iteration.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/3_Value_Iteration.ipynb)

[强化学习实战——动态规划(DP)求最优MDP](https://github.com/zht007/tensorflow-practice/blob/master/6_Renforcement_Learning_Gridword/强化学习实战——动态规划(DP)求最优MDP.md)

### [7_Renforcement_Learning_blackjack](https://github.com/zht007/tensorflow-practice/tree/master/7_Renforcement_Learning_blackjack)

[1_MC_Prediction .ipynb](https://github.com/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/1_MC_Prediction%20.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/1_MC_Prediction%20.ipynb)

[2_MC_Control_with Epsilon_Greedy Policies.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/2_MC_Control_with%20Epsilon_Greedy%20Policies.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/2_MC_Control_with%20Epsilon_Greedy%20Policies.ipynb)

[3_Off_Policy_MC Control_with_Weighted Importance_Sampling.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/3_Off_Policy_MC%20Control_with_Weighted%20Importance_Sampling.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/3_Off_Policy_MC%20Control_with_Weighted%20Importance_Sampling.ipynb)

[强化学习——MC(蒙特卡洛)玩21点扑克游戏](https://github.com/zht007/tensorflow-practice/blob/master/7_Renforcement_Learning_blackjack/强化学习——MC(蒙特卡洛)玩21点扑克游戏.md)

### [8_Renforcement_Learning_Clif_Env](https://github.com/zht007/tensorflow-practice/tree/master/8_Renforcement_Learning_Clif_Env)

[1_SARSA_Q-Learning_compare_Clif_Env.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/8_Renforcement_Learning_Clif_Env/1_SARSA_Q-Learning_compare_Clif_Env.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/8_Renforcement_Learning_Clif_Env/1_SARSA_Q-Learning_compare_Clif_Env.ipynb)

[强化学习实战——Q-Learing和SASAR悬崖探宝](https://github.com/zht007/tensorflow-practice/blob/master/8_Renforcement_Learning_Clif_Env/强化学习实战——Q-Learing和SASAR悬崖探宝.md)

### [9_Renforcement_Learning_CartPole](https://github.com/zht007/tensorflow-practice/tree/master/9_Renforcement_Learning_CartPole)

[1_dqn_keras_rl_cartpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/1_dqn_keras_rl_cartpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/1_dqn_keras_rl_cartpole.ipynb)

[DQN深度Q-Learning轻松上手](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/DQN深度Q-Learning轻松上手.md)

[2_q_learning_python_carpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/2_q_learning_python_carpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/2_q_learning_python_carpole.ipynb)

[3_SARSA_python_carpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/3_SARSA_python_carpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/3_SARSA_python_carpole.ipynb)

[4_SARSA_lambda_python_carpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/4_SARSA_lambda_python_carpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/4_SARSA_lambda_python_carpole.ipynb)

[强化学习_Q-Learning_SARSA玩Carpole经典游戏](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/强化学习_Q-Learning_SARSA玩Carpole经典游戏.md)

[5_DQN_keras_cartpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/5_DQN_keras_cartpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/5_DQN_keras_cartpole.ipynb)

[6_double_dqn_kearas_cartpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/6_double_dqn_kearas_cartpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/6_double_dqn_kearas_cartpole.ipynb)

[用Keras搭建Double DQN模型](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/用Keras搭建Double_DQN模型.md)

[7_policy_gradient_cartpole_tensorflow.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/7_policy_gradient_cartpole_tensorflow.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/7_policy_gradient_cartpole_tensorflow.ipynb)

[深度强化学习_Policy_Gradient_玩转_CartPole 游戏](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/深度强化学习_Policy_Gradient_玩转_CartPole游戏.md)

[8_policy_gradient_TF2_cartpole.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/8_policy_gradient_TF2_cartpole.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github//zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/8_policy_gradient_TF2_cartpole.ipynb)

[Tensorflow2.0_深度强化学习——Policy_Gradient](https://github.com/zht007/tensorflow-practice/blob/master/9_Renforcement_Learning_CartPole/Tensorflow2.0_深度强化学习——Policy_Gradient)

### [10_Renforcement_Learning_Moutain_Car](https://github.com/zht007/tensorflow-practice/tree/master/10_Renforcement_Learning_Moutain_Car)

[1_q_learning_python_mountain_car.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/1_q_learning_python_mountain_car.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/1_q_learning_python_mountain_car.ipynb)

[强化学习_Q-Learning玩MountainCar爬坡上山](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/强化学习_Q-Learning玩MountainCar爬坡上山.md)

[2_SARSA_python_mountain_car.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/2_SARSA_python_mountain_car.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/2_SARSA_python_mountain_car.ipynb)

[3_SARSA_lambda_python_mountain_car.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/3_SARSA_lambda_python_mountain_car.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/3_SARSA_lambda_python_mountain_car.ipynb)

[强化学习_SARSA和SARSA lambda玩 MountainCa 爬坡上山](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/强化学习_SARSA和SARSA_lambda玩MountainCar爬坡上山.md)

[4_q_learning_python_mountain_car_continuos.](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/4_q_learning_python_mountain_car_continuos.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/4_q_learning_python_mountain_car_continuos.ipynb)

[Q-Learning--可操控动作大小的小车爬山游戏](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/Q-Learning--可操控动作大小的小车爬山游戏.md)

[5_DQN_keras_mountain_car.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/5_DQN_keras_mountain_car.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/10_Renforcement_Learning_Moutain_Car/5_DQN_keras_mountain_car.ipynb)

### [11_Transfer_Learing](https://github.com/zht007/tensorflow-practice/tree/master/11_Transfer_Learning)

[1_flowers_with_transfer_learning.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/11_Transfer_Learning/1_flowers_with_transfer_learning.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/11_Transfer_Learning/1_flowers_with_transfer_learning.ipynb)

[Tensorflow 2.0 轻松实现迁移学习](https://github.com/zht007/tensorflow-practice/blob/master/11_Transfer_Learning/Tensorflow_2.0_轻松实现迁移学习.md)

### [12_Classification_CIFAR](https://github.com/zht007/tensorflow-practice/tree/master/12_Classification_CIFAR)

[1_ResNet_for_CIFAR100_TF2_0](https://github.com/zht007/tensorflow-practice/blob/master/12_Classification_CIFAR/1_ResNet_for_CIFAR100_TF2_0.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/12_Classification_CIFAR/1_ResNet_for_CIFAR100_TF2_0.ipynb)

[Tensorflow_2_0__ResNet实战CIFAR100数据集](https://github.com/zht007/tensorflow-practice/blob/master/12_Classification_CIFAR/Tensorflow_2_0__ResNet实战CIFAR100数据集.md)

### [13_Classification_Reuters](https://github.com/zht007/tensorflow-practice/tree/master/13_Classification_Reuters)

[1_RNN_LSTM_GRU_for_Reuters_TF2_0.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/13_Classification_Reuters/1_RNN_LSTM_GRU_for_Reuters_TF2_0.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/13_Classification_Reuters/1_RNN_LSTM_GRU_for_Reuters_TF2_0.ipynb)

[2_RNN_LSTM_GRU_cell_for_Reuters_TF2_0.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/13_Classification_Reuters/2_RNN_LSTM_GRU_cell_for_Reuters_TF2_0.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/13_Classification_Reuters/2_RNN_LSTM_GRU_cell_for_Reuters_TF2_0.ipynb)

[Tensorflow2_0---RNN实战路透社新闻分类](https://github.com/zht007/tensorflow-practice/blob/master/13_Classification_Reuters/Tensorflow2_0---RNN实战路透社新闻分类.md)

### [14_Classification_fasion_MINST](https://github.com/zht007/tensorflow-practice/tree/master/14_Classification_fasion_MINST)

[1_tflite_convert_model_to_tflite.ipynb](https://github.com/zht007/tensorflow-practice/blob/master/14_Classification_fasion_MINST/1_tflite_convert_model_to_tflite.ipynb)[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zht007/tensorflow-practice/blob/master/14_Classification_fasion_MINST/1_tflite_convert_model_to_tflite.ipynb)

[Tensorflow Lite 入门——模型的训练和转换](https://github.com/zht007/tensorflow-practice/blob/master/14_Classification_fasion_MINST/Tensorflow_Lite_入门——模型的训练和转换.md)