# tf2

**Repository Path**: xiwanggit/tf2

## Basic Information

- **Project Name**: tf2
- **Description**: tensorflow v2的版本学习
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-05-14
- **Last Updated**: 2021-05-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

*  主要来源
   *  [eat_tensorflow2_in_30_days](https://github.com/lyhue1991/eat_tensorflow2_in_30_days)
   *  [github tensorflow](https://github.com/tensorflow/tensorflow)
   *  [简单粗暴tf2](https://tf.wiki/)
      
*  API
   *  [官方](https://tensorflow.google.cn/api_docs/python/tf?hl=zh-cn)
   *  [中文社区](http://tensorfly.cn/tfdoc/api_docs/README1.html)
   *  [w3cschool](https://www.w3cschool.cn/tensorflow_python/)
   
*  docker: 
   *  docker run -it -v /code:/code --rm tensorflow/tensorflow bash
   *  docker-compose up -d

*  code
   *  1_titanic.py: 根据乘客信息预测他们在Titanic号撞击冰山沉没后能否生存
   *  2_cifar2.py: 训练一个模型来对飞机airplane和机动车automobile两种图片进行分类
   *  3_imdb_class.py: 预测评论的情感标签
   *  4_timeseries.py：新冠肺炎的时序RNN建模
   *  5_tensorboard.py：执行可视化跟踪
   *  6_derivative_optimize.py：导数与最优化
   *  7_low_level_api.py：低阶API
   *  8_middle_api.py
   *  9_high_api.py
   *  10_metrics_index.py: 模型评价指标
   *  11_build_model.py: 三种构建模型方法
   *  12_train_model.py：三种训练模型方法