资源列表
seq2seq
- python基于tflearn实现nlp中seq2seq算法(this code implements the seq2seq algorithm using python and tflearn frame.)
test_rnn
- rnn （循环神经网络）实验，算法验证，tensorflow平台(the experiment of rnn using tensorflow)
lle
- 实现非线性的数据降维，很简单的代码，比较容易明白(Achieve nonlinear data dimensionality reduction, very simple code, easier to understand.)
mie
- 与遗传算法结合，处理异常方程组，，，，，，，，，，(Combining with genetic algorithm to deal with abnormal equations)
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
统计自然语言处理-刘挺
- 机器学习实战，主要关于推荐系统，聚类分析，使用语言为python(maching learning in action)
I-75
- Radial Basis Functions
ASTAR
- 路径规划A*算法的python实现，带有详尽注释(Path planning A* algorithm Python implementation, with detailed notes)
算法
- 编程语言为C++的几个常见算法源码，提供给大家(Programming language for C++ several common algorithm source code, to everyone.)
遗传算法对BP网络权值阈值进行优化实例
- 遗传算法对BP神经网络权阈值进行优化，运行可用(Genetic algorithm is used to optimize the weight threshold of BP neural network.)
神经网络预测客运量
- 采用神经网络，结合北京的各项数据，系统预测客运量变化情况，稍稍改参数便可以直接使用(Using neural network, combined with the data of Beijing, the system predicts the change of passenger volume, and it can be used directly with a slight modification of parameters.)
《MATLAB 神经网络43个案例分析》源代码&数据
- MATLAB 神经网络43个案例分析的源代码及数据(43 case analysis of source code and data for MATLAB neural network)