资源列表
MINIST
- mnist库上 应用DBN网络 DBN使用RBM结构，半监督网络，逐层训练(Application on the DBN network)
bignum (3)
- bignum encryption library 2
SAGAexp.m
- 遗传算法和模拟退火算法融合，解决遗传算法早熟问题。(Fusion of genetic algorithm and simulated annealing algorithm)
Tensorflow 实战Google深度学习框架
- 深度学习框架，适合人工智能学习以及刚入门的知识普及(Deep Learning Framework)
ABC_cobe
- 人工智能蜂群算法，c++编辑，是用软件Notepad++存储的，可自行更改(Artificial intelligence bee colony algorithm, c++ editor, is stored in software Notepad++ and can be changed by itself)
ID3firstExample
- sample work with id3 decision tree
Sciprts
- 用 dataset3 作为训练数据，用 dataset4 作为测试数据，采用不同的特征、训练样本数、分类方法进行比较实验，观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器（假设正态分布，先验概率各 50%）。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an
搜索排序模型
- 介绍了搜索排序中的树模型，循序渐进，附详实的数学公式推导。(The tree model in search ranking is introduced, and the mathematical formula is deduced in detail.)
BP
- 利用BP神经网络实现 鸢尾花数据分类(Data classification of iris using BP neural network)
CNN
- CNN contains the desiption of the structure and usage the algorithm
decision_tree
- 决策树是一个利用像树一样的图形或决策模型的决策支持工具，包括随机事件结果，资源代价和实用性。(A decision tree is a decision support tool that uses a tree like graph or a decision model, including the result of random events, the cost of resources and the practicality.)
bayesian_regression
- 贝叶斯回归是一个很好的回归模型。相对与其他模型，贝叶斯回归可以避免因为模型过简单或者过复杂而产生的拟合不足和过拟合的问题。(Bayesian Regression is a good regression model. Compared with other models, Bayesian Regression can avoid the problems of Under-fitting and Over-fitting resulting from the simple or too co