资源列表
lstm-text-classfication
- 通过机器学习中的长短时记忆单元实现对文本进行分类的算法。(The long short term memory unit realizes the algorithm of classifying text by machine learning.)
seq2seq
- 通过机器学习算法实现类似文本翻译之类的文本与文本的转换的功能。(The function of text translation is realized by machine learning algorithm.)
tenserflow实现线性回归、逻辑回归、最邻近回归
- python语言，google tenserflow深度神经网络实现线性回归、逻辑回归、最邻近回归。
bppid
- 基于神经网络bp的pid控制器，可以运行。(based on nerual network pid controller)
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.)
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)
test_rnn
- rnn （循环神经网络）实验，算法验证，tensorflow平台(the experiment of rnn using tensorflow)
chapter1 谢菲尔德大学的matlab遗传算法工具箱
- 谢菲尔德大学matlab遗传算法工具箱用高级语言编写，可以看见算法的源代码，与此匹配先进的数据分析、可视化工具。(The Matlab genetic algorithm toolbox at the University of Sheffield is written in a high-level language. You can see the source code of the algorithm and match this with advanced data analysis
车牌汉字样本
- 车牌识别中汉字训练样本，包含31个省份，每个字符几十到几百个样本。(License plate recognition Chinese character training samples, including 31 provinces, each character tens to hundreds of samples.)
liner_regression
- 在MATLAB实现了线性回归算法，并对给定的数据做出了预测(A linear regression algorithm is implemented in MATLAB, and the prediction of the given data is made.)
BP神经网络的预测与人脸识别
- 基于matlab平台的BP神经网络的预测与人脸识别。(BP neural network prediction and face recognition based on MATLAB platform.)
正则化
- 深度网络中防至过拟合的情况，可以使用正则化，这里将实现L2正则化(In case of overfitting in deep network, regularization can be used, and L2 regularization is implemented here.)