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TensorFlow-study-cn

主要用于记录学习tf的一个过程

之前对于python和算法都了解的不多,所以在学习tf之前,需要记录一下tf常用库的用法

环境

  • 代码本地在mac上面进行开发
  • 代码是基于python3.6进行编写的
  • 使用pip版本是9.0.1
  • 使用的numpy版本是1.14.0
  • 使用的matplotlib版本是2.1.2
  • 使用的tf版本是1.5.0

代码

主要是用于记录ai入门的代码,方便自己熟悉、复习和巩固代码,代码分为三个部分

  • numpy用于初始化和构造一些数据
  • matplotlib用于画一些可视化的图形
  • tf用于进行神经网络的算法

numpy代码

这个部分写了一些常用的numpy的方法,主要是为了理解numpy的工作方式和常用方法,主要包括

  • 初始矩阵的生成
  • 矩阵的变换
  • 多个矩阵的操作
  • 熟悉 numpy-100

pyplot代码

这个部门写了一些常用的绘图方法,主要用于数据展示的可视化

  • 直接通过数据绘制静态图
  • 通过静态图片连续组成一些变化的图片
  • 通过动画的形式绘制动态图

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