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ann's Introduction

ANN

1.第一次更新

一个简单的神经网络模型,包含了神经网络各种基本的功能。主要参考吴恩达的cs231n课程 ANN模型主要由以下几个类依次拼接而成

Data

主要功能是提供数据的批处理操作

FullyConnect

ANN模型的主要部分之一: 主要完成了以下功能 a.对数据进行线性变换 b.数据的反向传播 FulllyConnect封装了如下的优化算法: Gradient descent/ Monmentum/ RMSprop/ Adam/ 提供了两种正则化方法: L2正则化/ drop-out正则化 以及 batch-normal归一化

Sigmoid,Relu1,Relu,Tanh主要功能如下

a.数据的非线性变换 b.反向传播

QuadraticLoss

a.计算损失熵函数 b.反向传播

Accuracy

计算准确率

ANN

使用上述各部分搭建一个人工神经网络模块

ann's People

Contributors

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