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Neural-Network

神经网络课程作业

课程参考书：人工神经网络理论、设计及应用第二版

1 绪论

本章节无习题

2 神经网络基础知识

basics

  1. activation 激活函数/转移函数
  • 双极性阈值型转移函数sgn
  • 单极性S型函数sigmoid及其导数
  • 双极性S型函数bipolar_sigmoid及其导数
  1. 神经网络学习规则

3 监督学习神经网络

supervised

  1. bpnn.py 实现了使用BP算法的神经网络 参考了Michael Nielsen的代码

4 竞争学习神经网络

competitive

  1. cn.py 实现了一个最基础的竞争学习神经网络 参考了Masksky的代码

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