资源列表
BP_Adaboost
- 基于BP-Adaboost的强分类器设计(Design of strong classifier based on BP-Adaboost)
kMeans
- kMeans 的 Python代码实现, 还有python自带库的kMeans 的实现(The realization of kMeans's Python code, as well as the realization of kMeans with Python's own library.)
HW1-regression
- 线性回归梯度下降法程序，用python实现adagrad梯度下降法(Linear regression gradient descent method, using Python to achieve adagrad gradient descent method.)
pconline1495538012909
- 该工具包为支持向量机工具包，可供学习以及编程工作使用(Support vector machine Toolkit)
elman
- Elman神经网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的，是一种典型的局部回归网络( global feed forward local recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的递归神经网络。(The Elman neural network, which was first proposed by j. l. Elman in 1990 for voice processing, is a typical global f
gaann
- 遗传算法优化的神经网络代码，添加数据文件，更改输入输入参数，可直接运行(artificial neural network optimized by ga)
ann
- 单纯的神经网络做预测，添加数据文件，修改输入参数，可直接运行(Simple neural network to predict, add data files, modify input parameters, can be directly run)
Python
- 爬取百度图片，图片质量为medium，可自定义关键词与数量(Download Baidu images with medium quality, and users can customize keywords and number of images to download.)
DeepLearningPython_jb51
- 关于python的深度学习资源。关于python的深度学习教学。关于python的深度学习材料。(Deep learning resources for Python. The teaching of deep learning in Python. Deep learning materials about python.)
CS294
- 机器学习文档，CS294主要讲深度增强学习，课程实例很多，相信对学习有所帮助。(Machine Learning,Mainly speaking of deep reinforcement learning,,many examples of courses,I believe that learning helps.)
BP based PID Control
- 被控对象为传递函数，是神经网络BPpid控制的(Based on bp nerual network pid control)
薛定宇bppid
- 基于bp神经网络pid控制的m文件，可以运行，被控对象为传递函数(bp based onpid control)