资源列表
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.)
final
- lstm网络数据处理，网络训练以及权重自动训练更新。(data processing,network training and weight updating)
pca-人脸识别
- 运用PCA算法，可以通过摄像头实时获取人脸，进行人脸识别。(By using PCA algorithm, we can get face in real time by camera and face recognition.)
kNN
- knn分类器, 机器学习实战第二章代码，k最近邻分类，适用于低维数据的分类器(classifier (KNN algorithm))
bicycle_tf
- 使用tensorflow实现的四层神经网络，并将网络节点参数进行储存(a neural network by python)