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谷歌机器学习速成课程编程中文练习笔记

本仓库备份了所有的课程编程练习笔记,以及数据文件,便于无法访问官方笔记的同学拉取学习

时间:2018-4-25

课程地址:https://developers.google.cn/machine-learning/crash-course

练习目录:https://developers.google.cn/machine-learning/crash-course/exercises

练习笔记

语言:Python2.7 Jupyter Notebook

预热

  • 编程练习:(TensorFlow) Hello World
  • 编程练习:TensorFlow 编程概念
  • 编程练习:创建和操控张量
  • 编程练习:Pandas 简介

使用 TensorFlow 的起始步骤

  • 编程练习:使用 TensorFlow 的起始步骤
  • 编程练习:合成特征和离群值

验证

  • 编程练习:验证

表示

  • 编程练习:特征集

特征组合

  • 编程练习:特征组合

分类

  • 编程练习:逻辑回归

稀疏性正则化

  • 编程练习:稀疏性和 L1 正则化

神经网络简介

  • 编程练习:神经网络简介

训练神经网络

  • 编程练习:提高神经网络的性能

多类别神经网络

  • 编程练习:使用神经网络对手写数字进行分类

嵌套

  • 编程练习:稀疏数据和嵌套简介

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