资源列表
cnn-text-classfication
- 通过机器学习中的卷积神经网络实现对文本进行分类的算法。(The text is classified by the convolution neural network.)
lstm-text-classfication
- 通过机器学习中的长短时记忆单元实现对文本进行分类的算法。(The long short term memory unit realizes the algorithm of classifying text by machine learning.)
seq2seq
- 通过机器学习算法实现类似文本翻译之类的文本与文本的转换的功能。(The function of text translation is realized by machine learning algorithm.)
小网络
- 51单片机智能小车程序，功能是利用神经网络进行防碰撞。(This is a simple program to prevent impact.)
adaboost
- 程序为一种分类算法AdaBoost算法，用于解决二分类问题(The program is a classification algorithm AdaBoost algorithm to solve the two classification problem)
logRegres
- 程序为Logistic回归算法用于分类，主要包含梯度上升法以及改进的梯度上升法(The program is Logistic regression algorithm for classification, mainly including gradient ascent method and improved gradient ascent method)
BPdata
- BP神经网络应用于非线性函数拟合（使用神经网络工具箱）(Application of BP neural network to nonlinear function fitting,which using the neural network toolbox.)
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)
UAV
- simulink搭建四旋翼模型并进行PID控制以及路径规划(Simulink builds four rotor model and carries out PID control and path planning.)