资源列表
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.)
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.)
BP_Adaboost
- 基于BP-Adaboost的强分类器设计(Design of strong classifier based on BP-Adaboost)
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.)
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)
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)
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.)
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.)
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.)
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.)
sequence_gan
- TensorFlow实现自然语言处理，基于梯度策略算法(Use TensorFlow to deal with the Natural Language Processing)
SOM神经网络
- C#平台下的应用，可输出SOM神经网络权值矩阵和测试结果(It can output SOM neural network weight matrix and test results.)