资源列表
Artificial-Intelligence
- 《人工智能哲学》收集了人工智能研究领域著名学者的15篇代表性论文，这些论文为计算机科学的发展和人工智能哲学的建立做出了开创性的贡献。人工智能哲学是伴随现代信息理论和计算机技术发展起来的一个哲学分支。-" Artificial Intelligence philosophy" a collection of 15 papers representative of artificial intelligence research famous scholars, these pap
mnist手写数字识别
- 本代码运行良好，代码包括全连接网络和卷积网络，同时附有数据集，非常方便初学者使用。
mnist_test
- tensoflow的神经网络的代码例子。。。。。。。。(A code example of tensoflow's neural network)
CNN_MNIST
- Tensorflow实现基于MNIST数据集的卷积神经网络(Tensorflow implementation of convolutional neural networks based on MNIST data)
Philosophy-of-AI
- 从哲学的角度看待人工智能问题，提出了对AI算法的哲学看法以及对AI的发展方向的展望。AI哲学是与心灵哲学、语言哲学和认识论紧密相连的一门智能科学。-Look at the problem from the perspective of philosophy of artificial intelligence, presented the philosophical views of AI algorithms and prospects for the development of AI s
rspcafnni
- 模糊神经网络图像识别, 基于人脸PCA算法的人脸检测识别，LDA特征提取，模糊神经隶属度算法-Fuzzy Neural Network Image Recognition
Modern-optimization-algorithm
- 现代优化算法简介，包含模拟退火法，遗传算法，人工神经网络等三大算法，附源代码及应用实例-Introduction of modern optimization algorithms, including simulated annealing, genetic algorithms, artificial neural networks and other three algorithms, with source code and application examples
Pattern-Recognition
- 模式识别相关论文集合，包含BO神经网络，支撑向量机等-Collection of pattern recognition related papers, including the BO neural networks, support vector machines
Machine-Learning-Materials
- 北航计算机学院研究生机器学习课程讲义，涵盖了机器学习领域大部分内容，如SVM、EM、boosting等。深入浅出，易于自学-Beihang University Graduate School of Computer Science Machine Learning Lecture Notes, covering most of machine learning, such as SVM, EM, boosting and so on. Easy to understand and self-l
TMSVM
- TMSVM开源的文本挖掘代码,C++代码写的比较清楚，值得研究。-TMSVM opensource text mining code
svm-ZIP
- 用svm实现数据的三分类问题，将输入的数组分成三类，并检查分类的准确率。-Svm classification achieved with three data array will enter into three categories, and check the accuracy of classification.
D-S
- 战略地图态势估计与态势融合的界面仿真程序及算法-Situation Assessment and Strategy Map Situation fusion algorithm and simulation program interface