资源列表
PCA-and-whitening
- 基于PCA和白化的数据预处理操作，PCA具有两个功能：维数约减和数据可视化；白化的目的是去掉数据之间的相关性。深度学习的一个主要工作就是数据的预处理-Based on PCA and data pre-whitening operation, PCA has two functions: dimensionality reduction and data visualization whitening purpose is to remove the correlation between t
Softmax_exercise
- Softmax用于多分类问题，本例是将MNIST手写数字数据库中的数据0-9十个数字进行分类，其中训练样本有6万个，测试样本有1万个数字是0~9-Softmax for multi classification problems, the present case is the handwritten data MNIST digital 0-9, classification, training samples which have 60,000, there are 10,000 test
ExerciseSelf-Taught-Learning
- Soft-taught leaning是用的无监督学习来学习到特征提取的参数，然后用有监督学习来训练分类器.-Soft-taught leaning unsupervised learning is to learn the parameters of feature extraction, followed by supervised learning to train the classifier.
stacked-autoencoder
- 基于两层的层叠自编码的深度学习模型，前两层用于特征提取，再加一个Softmax分类器用于分类-Two stacked the depth of learning coding model based on the first two levels for feature extraction, coupled with a classifier for classifying Softmax
trees
- 机器学习中的c4.5树的源代码，经测试，可以使用-The source code tree c4.5 in machine learning, through the test, can be used
email
- 机器学习算法的数据集，包含训练集和测试集。主要用于邮件分类-Machine learning algorithms of data sets, including training set and testing set.Mainly used for E-mail classification
logRegres---python
- 机器学习中的逻辑回归算法，经过测试，可以使用-Logistic regression algorithm of machine learning, through the test, you can use
horseColic
- 机器学习的训练样本和测试样本。用于机器学习算法。-Machine learning training samples and testing samples.Used for machine learning algorithms.
System-Identification
- 系统辨识最小二乘法 梯度校正参数估计法 极大似然参数估计法 多变量系统参数估计-System Identification Least Square Method Gradient Correction Parameter Estimation Maximum Likelihood Parameter Estimation Multivariable System Parameter Estimation
Machine-Learning-in-Python
- 《Python机器学习及实践：从零开始通往Kaggle竞赛之路》源码，提供了一些流行的机器学习框架与程序库的应用实例，包括tensorflow框架，注重实战。-Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examp
FlowwithoutPyramidLevels.py.tar
- a code KL optical flow between two images
regiongrowing.py.tar
- segmentation using region growing in an image