资源列表
Clustering-master
- 一个基础的聚类算法，带数据集，适合初步研究聚类算法的人学习。(A basic clustering algorithm, with data sets, is suitable for the preliminary study of clustering algorithm for human learning.)
spr-7
- 采用两线程随机离散卷积神经网络针对触觉序列进行特征提取与分类。(Two thread random discrete convolution neural network is applied to feature extraction and classification for haptic sequences.)
Python网络数据采集
- Python网络数据采集，适合想要学习使用Python进行网络数据采集的人。(Python network data collection for those who want to learn how to use Python for network data acquisition.)
LT-9
- 两线程随机离散卷积神经网络，针对LT-9数据集。(Two thread random discrete convolution neural network for LT-9 data set.)
生成对抗网络
- 生成对抗网络针对mnist数据集，Python语言实现。(Generate confrontation network for MNIST data set, implemented in Python language.)
matlab径向基函数网络
- 这是一个演示径向基函数的例子，也可计算2点间的线性积分(This is an example demonstrating the Radial Basis Function.)
CNN_visual.py
- 基于卷积神经网络的图片风格转换, 讲目标图片以转粉图片的风格重新处理释放出来(Image style transfer based on CNN)
PC_ELM
- 极限学习机的改进型，可用于降维和图像重构(Autoencoder With Invertible Functions for Dimension Reduction andImage Reconstruction)
text_classification_AI100-master
- 实现LSTM情感分析，中文，用到结巴分词，LSTM模型，环境python3.0(Achieve LSTM sentiment analysis, Chinese, use stuttering participle, LSTM model, environment python3.0)
SVM
- SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to support vector machines, which is a common method of discrimination. In the field of machine learning, it is a supervised l
改进RX算法
- 一种很好的RX算法，改进版的，需要的来下载！！(A good RX algorithm, improved version, need to download!!)
deep_autoencoder_or_classifier@MNISTdigits
- SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)