MRL-Mnist-Number-Master:本项目是作者（MRLLiu）基于TensorFlow框架训练的一个全连接网络的手写数字识别器，是作者一个阶段总结性项目。基于MNIST的手写数字识别项目已是深度学习入门的必备项目，但区别于其他，本项目的特色是添加了模型的保存与加载功能、TensorFlow可视化功能、指数衰减法的学习率、滑动平均模型技术、L2正则化等先进技术和可视化手写数字图片功能等。整个项目基于良好的面向对象思想，方法定义层层推进，可以说是非常好的总结性学习材料资源-CSDN文库

共59个文件

desktop-e4438mj：31个

data-00000-of-00001：6个

meta：6个

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MRL-Mnist-Number-Master-main.zip （59个子文件）

folder

MRL-Mnist-Number-Master-main

folder

models

checkpoint 178B

model.ckpt-999.data-00000-of-00001 3.03MB

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model.ckpt-99.data-00000-of-00001 3.03MB

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model.ckpt-1999.index 497B

model.ckpt-199.data-00000-of-00001 3.03MB

model.ckpt-99.index 470B

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mnist

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__pycache__

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README.md 478B

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