资源列表
mapsearch
- 人工智能课程设计，关于广度优先搜索的一个实例-Artificial intelligence curriculum design, breadth-first search on an instance of
youhuasheji
- 关于精密仪器设计的一些优化算法，在其他的领域也有很大的用处，介绍了大部分求求解最优值的算法，内容基础全面 给出的具体的算法实现过程-Some of precision instruments designed to optimize the algorithms, but also in other areas is very useful to introduce most of the value of seeking the optimal solution algorithm, a co
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
fuzzy-set
- 介绍模糊集的基本概念，并附带matlab程序。较好的一本关于模糊集的书，可用于自学。-Introduce to Fuzzy Logic using matlab.
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- 人工智能行业报告，可以非常清楚的了解行业发展情况，做出最好的判断。(The report of the artificial intelligence industry can make a clear understanding of the development of the industry and make the best judgment.)
QrsDetector
- it is code of finding QRS of a ECG waveforms.
neuralnetwork
- 上载内容为用matlab实现的神经网络理论书籍。-Uploaded content with matlab for implementation of neural network theory books.
Pattern-Recognition-And-ML
- 模式识别和机器学习书籍，用了还不错，可以推荐使用-Pattern recognition and machine learning books, with a pretty good
斯坦福大学-深度学习基础教程
- 斯坦福大学的深度学习，基础教程。ps:要求先学完吴恩达的机器学习基础再来看，不然看不懂(Depth study of Stanford University, basic course. Ps: needs to learn the basis of Wu Enda's machine learning first, or you can't understand it.)
斯坦福大学-深度学习基础教程
- 斯坦斯坦福大学深度学习算法介绍，包括基本原理，各种处理算法。(Deep learning algorithms introduction by Stanford University)
lebeak
- hey.. itis lebak game made by lebak
opencv_apps_b1_5
- 微软的基于HMM的人脸识别原代码, 非常经典的说-Microsoft HMM-based Face Recognition source, said the very classic