资源列表
t10k-labels-idx1-ubyte
- t10k-labels-idx1-ubyte 深度学习的库
BP神经网络
- 第一个m文件：构造、训练BP神经网络并计算其识别率；第二个文件将进行人脸检测。注意：orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
JGibbLDA-v.1.0
- JGibbLDA-v.1.0.zip是java版的LDA实现，可以完美实现LDA，仅供学习参考(LDA implementation of Java Edition)
蓄电池BP训练
- 此方法用于 估算蓄电池SOC 精度较高 目前处于仿真阶段(Estimation of battery SOC)
naive_bayes（简单贝叶斯）
- 简单贝叶斯的介绍和讲解，深刻理解简单的贝叶斯(Simple introduction and explanation of Bias, a deep understanding of simple Bias.)
5、贝叶斯python代码及数据
- 贝叶斯算法实现分类及数据集 python代码 分类算法(The classification and data set of Bias algorithm)
cudnn-7.5-windows10-x64-v5.0-ga
- cudnn 5.0 匹配cuda7.5，安装GPU支持的深度学习的伙伴用得着。这是cudnn的版本5.0，可以配合Cuda7.5使用。(Cudnn 5 matches cuda7.5, and it is useful for GPU to support deep learning partners. This is the version 5 of cudnn, which can be used in conjunction with Cuda7.5.)
机器学习算法PPT
- 机器学习课件 从基础入门到深度学习 很详细(Machine learning courseware)
astar
- A*算法实现路径规划，返回的是离散的路径点，为启发式算法(Path planning by A* algorithm)
MAgent-master
- 多智能体的一段代码，有关强化学习，机器学习，很实用的一段代码！(A code of multi-agent, about reinforcement learning, machine learning, a very practical piece of code!)
1天搞懂深度学习
- 深度学习很好的教程，适合研究深度学习的人。(Deep learning is a good tutorial for studying deep learners.)
Q_learning
- 强化学习代码，求解贝尔曼方程，用qlearning求解(Reinforcement learning code, behrman equation, using qlearning solution)