zhaoxuezhe128 / tensorflow-practice

Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.

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 to open the notebook in Colab and exclude the code there directly.

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

1_Linear_Regression

2_Classification_Pima_Indians_Diabetes

3_Classification_Census_Data

4_Clasification_DigitRecognizer

5_Prediction_MilkProdction

6_Renforcement_Learning_Gridword

7_Renforcement_Learning_blackjack

8_Renforcement_Learning_Clif_Env

9_Renforcement_Learning_CartPole

10_Renforcement_Learning_Moutain_Car

11_Transfer_Learing

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 or Jianshu.

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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 或者 简书

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。

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Table of Contents

0_Notes_for_Tensorflow

AI学习笔记——Tensorflow入门

AI学习笔记——机器学习中易混淆术语解析

AI学习笔记——神经网络和深度学习

AI学习笔记——精准识别You Only Look Once(YOLO)

Tensorflow入门——处理overfitting的问题

免费使用Google的GPU和TPU来训练你的模型

深入理解Numpy和Tensorflow中的Axis操作

Tensorflow2.0——与Keras 的深度融合

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1_Linear_Regression

1-LinearRegression.ipynb

Tensorflow入门——线性回归

2-RegressionBatchKeras.ipynb

Tensorflow入门——Keras简介和上手

3-Regression_TF_eager_api.ipynb

Tensorflow入门——Eager模式像原生python一样训练模型.md

4_Regression_TF_2_0.ipynb

Tensorflow 2.0 快速入门 —— 自动求导与线性回归

2_Classification_Pima_Indians_Diabetes

1-KerasClassification.ipynb

Tensorflow入门——Keras处理分类问题

2-TensorflowClassification.ipynb

Tensorflow入门——Tensorflow处理分类问题

3-KerasClassification-with-Regularization-dropout

3_Classification_Census_Data

1-Classification-keras-census.ipynb

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

2_DL_Multi_Layer_NN_for_DigitRecognizer.ipynb

Tensorflow入门——多层神经网络MNIST手写数子识别

3_DL_Multi_Layer_CNN_for_DigitRecognizer.ipnb

Tensorflow入门——卷积神经网络MNIST手写数子识别

4_DL_Multi_Layer_CNN_for_DigitRecognizer_with_tensorboard.ipynb

两步轻松实现在Keras中使用Tensorboard.

5_DL_Multi_Layer_CNN_for_DigitRecognizer_with_various_parameters

利用Tensorboard辅助模型调参

6_DL_Multi_Layer_CNN_for_DigitRecognizer_TF_2.0

5_Prediction_MilkProdction

1_RNN_Many_to_One_Keras.ipynb

Tensorflow入门——RNN预测牛奶产量

2_RNN_Many_to_Many_Keras.ipynb

3_RNN_Many_to_Many_Stateful_Keras.ipynb

Tensorflow入门——改进RNN预测牛奶产量

4_RNN_Many_to_One_TF2_0.ipynb

Tensorflow 2.0 快速入门 —— RNN 预测牛奶产量

6_Renforcement_Learning_Gridword

1_Policy_Evaluation.ipynb

2_Policy_Iteration.ipynb

3_Value_Iteration.ipynb

强化学习实战——动态规划(DP)求最优MDP

7_Renforcement_Learning_blackjack

1_MC_Prediction .ipynb

2_MC_Control_with Epsilon_Greedy Policies.ipynb

3_Off_Policy_MC Control_with_Weighted Importance_Sampling.ipynb

强化学习——MC(蒙特卡洛)玩21点扑克游戏

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

9_Renforcement_Learning_CartPole

1_dqn_keras_rl_cartpole.ipynb

DQN深度Q-Learning轻松上手

2_q_learning_python_carpole.ipynb

3_SARSA_python_carpole.ipynb

4_SARSA_lambda_python_carpole.ipynb

强化学习_Q-Learning_SARSA玩Carpole经典游戏

5_DQN_keras_cartpole.ipynb

6_double_dqn_kearas_cartpole.ipynb

用Keras搭建Double DQN模型

7_policy_gradient_cartpole_tensorflow.ipynb

深度强化学习_Policy_Gradient_玩转_CartPole 游戏

10_Renforcement_Learning_Moutain_Car

1_q_learning_python_mountain_car.ipynb

强化学习_Q-Learning玩MountainCar爬坡上山

2_SARSA_python_mountain_car.ipynb

3_SARSA_lambda_python_mountain_car.ipynb

强化学习_SARSA和SARSA lambda玩 MountainCa 爬坡上山

4_q_learning_python_mountain_car_continuos.

Q-Learning--可操控动作大小的小车爬山游戏

5_DQN_keras_mountain_car.ipynb

11_Transfer_Learing

1_flowers_with_transfer_learning.ipynb

Tensorflow 2.0 轻松实现迁移学习