资源列表
ipython-notebooks-master
- 机器学习详细课程代码以及讲解， Andrew Ng 机器学习课程练习的实现(Andrew Ng's "Machine Learning")
CNN_new
- 用matlab实现CNN算法，用于深度学习(Implementation of CNN algorithm with MATLAB)
RNN网络代码
- 循环神经网络代码，简单实现深度学习的方式。初学者使用(Recurrent neural network code, a simple way to realize deep learning. Beginners use)
Python核心编程 第3版 中文版.pdf
- python经典书籍，非常不错的入门教程(Python classic books, very good introductory tutorials)
物流运输规划
- 数学建模，物流运输规划任务的神经网络模型代码。(The neural network model code of mathematical modeling and logistics transportation planning task.)
ARIMA
- arima算法实现思路，主要用来进行时间序列预测(The realization of ARIMA algorithm is mainly used for time series prediction)
LSTMshili
- 做预测,预测股票趋势的一个小例子，可运行，比较简单明了，容易理解，适合初学者(A small example of forecasting, predicting stock trends, running, easy to understand, easy to understand, suitable for beginners)
Incremental-ELM
- 很详细的极限学习机增量学习的代码，非常适合新手入门学习(Very detailed limit learning machine incremental learning code, very suitable for beginners to learn)
《1天搞懂深度学习》-李宏毅
- 适合新手的深度学习教程,李宏毅《一天搞懂深度学习》(deep learning resource)
Autoencoder_Code
- Hilton用玻尔兹曼机实现数据降维的源代码(Hinton Science06 Reducing the dimensionality of data with neural networks)
9573644
- 矩阵操作的C++实现,方便对其进行初始化,转置及求逆()
遗传算法优化RBF
- 可以实现以下功能：遗传算法优化RBF，GA-RBF(it is used to achieve the goal of GA-RBF)