资源列表
PSO
- 粒子群优化算法代码，实现任意函数的优化，只需要对需要优化的函数进行编写即可。(Optimization of particle swarm optimization algorithm for optimization of any function)
Demo_for_Windows-master
- Arcsoft ArcfaceDemo for Windows, VS2013 C++ 虹软开源人脸识别比对引擎示例(Arcsoft ArcfaceDemo for Windows, VS2013 C++)
Intro to Bioinformatics Algorithms
- Intro to Bioinformatics Algorithms
Python数据挖掘入门与实践 .pdf
- python数据挖掘入门书籍，使用与有python基础的编程人员(Python data mining introductory books)
[Peter_Harrington]_Machine_Learning_in_Action
- 机器学习入门书籍，结合python,适合初学者来阅读。(The machine learning based on the python is suitable to the freshman.)
spider_movies
- 此代码是爬虫器。用来爬取movies的数据进行分析，高性能版。(This code is a reptile. Used to crawling movies data analysis, high-performance version.)
knn
- KNN文本分类算法(k nearest neighhor)使用knn实现样本分类(KNN(k nearest neighhor)classification)
svm
- SVM支持向量机(Support Vector Machine)，使用svm实现样本分类(SVM (Support Vector Machine) classification)
Using-Ranking-CNN-for-Age-Estimation-master
- 基于深度学习 的年龄识别,ranking age cnn(deep learning ,ranking age cnn)
demos
- 各种神经网络matlab代码，附上说明，可以实现基本的预测功能，拟合效果很好(Neural network attached instructions, can realize the basic function of the prediction, the fitting effect is very good)
Deep_Learning(深度学习)
- 深度学习入门教程，由浅入深，包含深度学习的基本思想，各种训练模型已经卷积神经网络相关内容(Deep learning introduction course, from shallow to deep, including deep learning basic ideas, various training models have convolution neural network related content)
DL_basic_code
- 基于python3的机器学习中可能用到的一些基本的算法。(Some basic algorithms that may be used in machine learning based on python3.)