资源列表
Exercise6-Self-Taught-Learning
- 斯坦福深度学习教程中关于Self-Taught的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on Self-Taught code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the pat
Exercise5-Softmax-Regression
- 斯坦福深度学习教程中关于softmax regression的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on softmax regression code, source code need to fill all places, all the full complement of the code, the handwriting recognitio
Exercise4-PCA-and-Whitening
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening斯坦福的深度学习的教程的练习，是关于数据预处理的-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening Stanford deep learning tutorial exercises about data preprocessing
Exercise3-PCA-in-2D
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_in_2D，斯坦福深度学习教程的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_in_2D, Stanford depth tutorial code
Exercise2-Vectorization
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization。斯坦福深度学习的教程，练习2的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization. Stanford deep learning tutorials, exercises 2 code
Differential-Evolution-Algorithm
- 差分进化算法，性能很好、很热的算法。这里有C、C++、Matlab的实现，希望对大家有帮助-Differential evolution algorithm, the performance is very good, very hot algorithms. Here are C, C++, Matlab implementation, we hope to help
Exercise1-Sparse-Autoencoder
- 网址：http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder斯坦福深度学习的教程，这个是稀疏编码的的练习，可以直接运行-URL: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Stanford deep learning tutorial, this is a sparse coding exer
BP_CPP
- C++两个BP神经网络算法，基本型和改进型，修改了很多个错误，大量样本时还有一些问题，但还是比较实用-C++ two BP neural network algorithm, the basic model and improved, modified a lot of errors, there are some issues when large numbers of samples, but it is quite practical
neural-network-example
- 用前向神经元网络逼近连续函数，f（x1，x2，x3，x4）=sinx1+sinx2+sinx3+sinx4 定义域为[0,2*pi].刘宝碇老师例子仅供参考-Let us design a feedforward NN to approximate the continuous function, f(x1, x2, x3, x4) = sin x1+ sin x2+ sin x3+ sin x4 defined on [0, 2*pi]4.
ga
- 用matlab编的一个遗传算法，可以用来求解函数的最值，可以根据实际需要改动-Using matlab a genetic algorithm, the function can be used to solve the most value, you can change according to actual needs
DuckLakeSegmentation_SVM
- 用svm实现图片中目标的提取。ColorPix.exe为图片rgb值读取小软件，littleduck.jpg为目标图像。DuckLakeSegmentation_SVM.m为主程序，使用时可以选取图片处于目标位置像素点的rgb值作为特征训练svm。可以使用任意图片，通过修改主程序的DuckTrainData和LakeTrainData里面的rgb值即可-Svm achieve the target image using the extraction. ColorPix.exe rgb valu
traveller3
- 一些解决中国邮递员问题的算法及源代码 c语言或者c-Some Chinese postman problem solving algorithm and source code c language or c++