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simple-resnet's Introduction

Simple-ResNet

Residual Neural Network


这是一个简单的ResNet实现。使用数据是mnist,堆叠了50个resNet block,每个block由2个全连接层组成。共102层全连接神经网络。

1. 直接训练后的效果

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2. 去掉h(x) = f(x) + x,也就是这种残差**

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3. 如何使用

代码结构
----model
-------SimpleResNet.py
----util
-------datasets.py
----data

SimpleResNet.py是模型的实现以及主函数
datasets.py加载数据的一个工具类
直接运行simpleResNet.py即可,里面可以修改模型的参数。
更详细的解释请直接参考simpleResNet.py中的注释。
data放置数据

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Contributors

colin0000007 avatar

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