搜索资源列表
WatershedSegmentation1
- 分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分 类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低 的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些 小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正 如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其 他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的
gbdt.tar
- gradient boosting decision tree 随机梯度下降法boosting 的 决策树。 阿里称为treelink 算法-gradient boosting decision tree gbdt
steepest_ex
- 梯度下降法的matlab版本实例,带收敛轨迹图。-the steepest descent algorithm with matlab
steepest_lin_ex
- 沿直线最小化优化学习率的梯度下降法matlab版本的一个实例源代码，带轨迹收敛图。-a source code of steepest descent with learning rate to minimize along the line by matlab
gradientDescentTrain.m.tar
- 一个matlab的m文件，使用梯度下降法进行数据训练实现数据分类（线性可分问题）- A matlab m file, the training data using a gradient descent method for data classification (linearly separable problems)
Pansharpening
- 基于非局部图像去噪模型的遥感图像融合的变分方法。该变分方法采用梯度下降法。-Variational method of remote sensing images nonlocal image denoising model fusion. The variational method using gradient descent.
madgwick_algorithm_matlab
- 1. SOH关于IMU进行姿态求解的C代码，里面包含了两套代码，分别是重力约束法求解和梯度下降法求解！-1. SOH IMU for attitude about solving the C code, which contains two sets of codes, which are bound by gravity and gradient descent method for solving method to solve!
rbf
- rbf逼近的程序，采用梯度下降法进行逼近，效果不错-RBF approximation sin (x), using the gradient descent method
LMBPNN
- 利用LM训练算法来改善BP神经网络的梯度下降法的训练算法。-Using LM training algorithm to improve BP neural network training algorithms gradient descent.
The-gradient-descent-method
- 梯度下降法是一个最优化算法，常用于机器学习和人工智能当中用来递归性地逼近最小偏差模型-The gradient descent method is an optimization algorithm used in machine learning and artificial intelligence to recursive approximation of the minimum deviation model
tiduxiajiang
- 多传感器数据融合的梯度下降法。方法较为简单，代码基本可以实现滚转角与俯仰角的解算，需要再调参数会更精确-Multi-sensor data fusion gradient descent. The method is simple, basic code can roll angle and pitch angle of the solver, you need to re-tune the parameters would be more accurate
linear_regression_with_one_variable
- 自己编写的程序，能够实现单变量的线性回归，随机产生训练样本，利用梯度下降法实现训练过程，并且画出了误差的迭代曲线。-I have written a program that can achieve single-variable linear regression, random training sample using gradient descent method to achieve the training process, and draw the iterative curve
logistic_regression
- 利用逻辑回归实现二分类的matlab程序。随机生成训练样本，利用梯度下降法进行训练，并且在样本图上画出了分类边界。-Logistic regression for binary classification matlab procedures. Randomly generated training samples, the training using the gradient descent method, and is shown in Figure on the sample class
deepest_descent_method_1D
- 梯度下降法在一维函数中的优化应用，自己原创，可以运行，无任何错误-Gradient descent algorithm applied in a one-dimensional function optimization, and their own original, can run without error.
deepest_descent_method_2D
- 梯度下降法在二维函数中的优化寻优，老师上课的例子，可以运行无误-Gradient descent optimization in a two-dimensional function optimization, teacher in the class example, you can run correctly
SVM-study-for-the-news
- 基于梯度下降法的SVM的实现。适合初学者-Gradient descent method to achieve SVM. Suitable for the news.
TOTO_NeuralNetwork_v2
- 全手工Java书写的完全面向对象结构的人工神经网络，现版本，仅实现BP神经网络以及普通梯度下降法，但结构精炼，易于扩展，本人正在书写稀疏自编码用于图像处理，但本版本尚未涵盖。将在以后的版本中上传。（附带CSV输入）-Neural Network Programmed by JAVA, the key contribution of this Project is 100 OO based, readers can easily figure out how to add more things
LogisticRegression
- 用python实现逻辑回归，实现了梯度下降，随机梯度下降法收敛。-Realized the logistic regression by python, using gradient decescent, stochastic gradient decescent to diverge to the final point.
HousePrice(gradient-descent)
- 利用机器学习算法实现南京房价预测。已知2000年至2013年的南京房价，利用梯度下降法预测2014年南京房价。-Nanjing using machine learning algorithm to predict prices. Known 2000-2013 Nanjing prices, using the gradient descent method to predict 2014 Nanjing prices.
Exercise8
- LES算法。包含梯度下降法优化算法，并且以图示每一步迭代权值如何更新。-LES algorithms. Contains gradient descent optimization algorithm, and with each iteration illustrates how to update the weights.