资源列表
深度学习的研究与发展
- 帮助你学习深度学习，理解深度学习的实战算法。常有在深度学习的知识海洋(Help you to learn deep learning)
用Python写网络爬虫PDF&源码
- 用Python写网络爬虫 PDF & 源码(Write network crawler PDF& source code with Python)
path planning
- 机器人路径规划，利用人工势场法进行路径规划。(Path planning using artificial potential field method)
BP
- BP神经网络的非线性函数拟合,利用BP算法对一个非线性函数进行拟合(The Nonlinear Function Fitting Based on BP Neural Network)
SVM工具箱
- 四种SVM工具箱的分类与回归算法LS_SVMlab、OSU_SVM3.00、stprtool\svm、SVM_SteveGunn(Classification and regression algorithm of four kinds of SVM toolbox LS_SVMlab,OSU_SVM3.00,stprtool\svm,SVM_SteveGunn)
斯坦福ai报告.pdf
- 斯坦福AI报告，里面包含了大量人工智能行业领域的说明(Standford AI Report, include lots of descr iption.)
2017Matlab_DeepLearning
- matlab深度学习文档，是最新版的，里面详细记录了各种深度学习模型(Matlab depth learning document)
Chapter_1
- 《 机器学习及实践:从零开始通往Kaggle竞赛之路》源码，Chapter_1.ipynb("Machine learning and practice: the road from zero to Kaggle competition" source code, Chapter_1.ipynb)
cnn
- 卷积神经网络的M语言实现，包含众多子程序(Convolutional Neural Networ)
network1
- 应用人工神经网络的建模方法，采用多层感知器的模型结构，利用自适应学习速率的BP学习算法(The application of artificial neural network algorithm and the model structure of multilayer perceptron)
神经网络
- 神经网络训练文字识别使用的java实现----------(neural network The texture feature extraction of image is a foundational work for image recognition and classification)
Clustering-master
- 深度学习中，用matlab对k-means算法进行了实现，运行效果还不错，第一次上传文件，多多指教(The k-means algorithm is implemented.)