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这是一个基于tensorflow2.0训练MNIST数据集，实现了包括anaconda3的环境配置，tensorboard观察，模型保存和重载，个人手写体识别的源代码和操作方式详解。

Python 100.00%

tf2_mnist's Introduction

tensorflow2.0的学习者你好～这个项目是我在本科时期的作品。
整个过程实现了模型训练（tensorboard_test)，自己的手写体数字识别
在这个过程中查阅了很多的文档和博客。
非常推荐龙龙老师的tensorflow2.0教程：
https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book
某国外在线的MNIST手写体识别网站：
http://scs.ryerson.ca/~aharley/vis/conv/
（我的手写体照片是从这里保存的，也可以用PS制作）
以下是各个文件包含的内容：
tensorflow文件中包含所有源程序和mnist训练集中图片的可视化
201911**文件中包含两次训练过程的tensorboard参数
weights文件夹中包含模型参数
models中包含模型和手写体图片

祝你一切顺利，欢迎与我联系！
邮箱[email protected]

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