搜索资源列表
LIDCtoolbox_v1.3
- LIDC 2图像工具箱(Matlab)——从XML文件中提取单个注释,并将之转换为和DICOM图像,在Matlab TIF格式更容易处理(LIDC-IDRI数据集)。-LIDC 2 Image Toolbox (Matlab)- for extracting individual annotations the XML files and converting them, and the DICOM images, into TIF format for easier processing i
GA_CVRP
- 用遗传算法和模拟退火实现的限重的VRP(CVRP),250个customer，一个仓库，数据文件在里面，导入eclipse就可以运行。-this is a hybrid algorithm of GA and SA to solve CVRP problem, which is devopled on eclise with java.it contains a input dataset involved with 249 customers and one single depot.
mnist.pkl
- mnist数据集，手写体识别，可以应用于深度学习的测试数据-mnist dataset, used for handwriting recognize
NN
- implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes-implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes
neural-network
- 深度学习python实现，并附有MNIST上的测试程序，准确率98 以上-Deep learning learns low and high-level features large amounts of unlabeled data, improving classification on different, labeled, datasets. Deep learning can achieve an accuracy of 98 on the MNIST dataset.
ridge
- 这段代码可以实现机器学习中的岭回归。自行添加高斯噪声后对每个数据集的七阶多项式用不同的值λ进行岭回归-Perform ridge regression on each dataset with 7th order polynomial with different value λ.Add Gaussian noise.
BP_for_classify
- 一个BP神经网络解决分类问题，数据集是Iris数据集-Here is a bp ANN for classify,the dataset used is the Iris dataset
GA-tsp
- 利用遗传算法解决旅行商问题，文件里面包含数据集为各城市的坐标-Genetic algorithm to solve the traveling salesman problem, the file which contains the coordinates of each dataset city
SVMPKNN
- 自己编写的一个分类小程序，实现了SVM和KNN算法，附件带有UCI数据集中的一些测试数据。-I have written a small program classification, to achieve the SVM and KNN algorithm, the attachment with some test data UCI dataset.
input_data
- 机器学习领域中常用的数据集MNIST的下载代码-Commonly used in the field of machine learning dataset MNIST download code
perceptron
- 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
NN-Back-Propagation-Generalized
- Solving XOR-problem and consecutively try MNIST-dataset with fundamental level of understanding on neural networks. Recommendable for beginners ( As I am :) ) And it s fully documented.
LogisticRegression
- Logistic Regression on IRIS Dataset using TensorFlow
knn_logistic_naiveBayes
- 统计机器学习经典分类算法MATLAB代码，付数据集。包括knn算法，逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.
Class_3_Code
- 将concrete_data.mat文件导入到MATLAB中，其中attributes为影响混凝土抗压强度的7个输入变量，strength为混凝土的抗压强度，即输出变量； 将整个数据集中的103个样本随机划分为训练集与测试集，其中训练集包含80个样本，测试集包含23个样本； 将训练集与测试集数据进行归一化； 建立BP神经网络，并训练； 利用训练好的BP神经网络对测试集中的23个样本的抗压强度进行预测； 输出结果并绘图（真实值与预测值对比图）(The concrete_data.mat
googlenet_places205.tar
- 是GoogLeNet在placesCNN205数据集里迭代模型，用于识别物体或fine tune自己的网络模型(This model is made by GoogLeNet and it has been in s steady accuracy in placesCNN205 dataset. This object can be used in struct detections or fine tune your own network.)
pix2pix
- 实现论文pix2pix，目前在数据集上CMP_facade测试(implementation of pix2pix,now is testing on CMP_facade dataset)
cascadeCNN_license_plate_detection-master
- 很好的一个车牌检测程序,检测率很高，快速卷积神经网络SoftwareMatlab R2016b Matlab R2016b(plate lisence detectionMatlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset : http:/
SVD++
- 简单的SVD基于movielens的开发python程序(this is a simple SVD write by python base on movielens dataset)
CNTK
- 在深度的重要性的驱使下，出现了一个新的问题：训练一个更好的网络是否和堆叠更多的层一样简单呢？解决这一问题的障碍便是困扰人们很久的梯度消失/梯度爆炸，这从一开始便阻碍了模型的收敛。归一初始化（normalized initialization）和中间归一化（intermediate normalization）在很大程度上解决了这一问题，它使得数十层的网络在反向传播的随机梯度下降（SGD）上能够收敛。 当深层网络能够收敛时，一个退化问题又出现了：随着网络深度的增加，准确率达到饱和（不足为奇）然后迅