资源列表
maoyi
- network，贸易的复杂网络代码，全球数据(network for global trade)
tsp
- 使用遗传算法解决tsp问题 人工智能 遗传算法示例(Using genetic algorithm to solve TSP problem)
decision_tree
- 以隐形眼镜为例的决策树分类算法代码，lenses.data是存放数据的文件，此代码使用python3实现(The classification algorithm code of the decision tree with the contact lens as an example)
arfit-master
- Restricted Boltzmann Machine
caffe-cvprw15-master
- 基于深度学习框架构建用于快速图像检索的二值哈希编码(Construction of binary hash codes for fast image retrieval based on depth learning framework)
gcForest-master
- 基于决策树构建深度森林模型实现较高特征表示能力相比深度卷积神经网络(Building deep forest model based on decision tree to achieve higher feature representation ability compared with deep convolution neural network)
LIFT-master
- 基于训练端对端的深度卷积神经网络学习局部不变性特征(Local invariant feature of learning images based on the training end to end convolution neural network)
alexnet_test
- 因上传文件大小的限制,仅包含了cifar10部分数据集,将32*32*3扩展到227*227*3,然后完全使用alexnet,短时间训练,可达75%的准确率(Due to the limitation of uploaded file size, it contains only part of cifar10 data set, extends 32*32*3 to 227*227*3, and then uses alexnet completely, and training for a
lenet_test
- 包含mnist数据集的lenet例子,快速训练部分数据,达到85%的准确率(A lenet example that contains the MNIST dataset to quickly train part of the data to reach a 85% accuracy rate)
xgBoost_Intro
- python xgboost分类程序的例子，需安装xgboost库。(An example of the python xgboost taxonomy requires the installation of the xgboost library.)
Iris_Adaboost
- python鸢尾花（iris）数据分类程序例子，采用adaboost算法。(Python iris flower (IRIS) data classification program examples, using the AdaBoost algorithm.)
Iris_RandomForest
- python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)