资源列表
Kmeans
- 可以实现K均值聚类的MATLAB程序。但是有点小问题。(The MATLAB program of K mean clustering can be realized.)
车牌汉字样本
- 车牌识别中汉字训练样本，包含31个省份，每个字符几十到几百个样本。(License plate recognition Chinese character training samples, including 31 provinces, each character tens to hundreds of samples.)
Two-Layer-CNN-on-MNIST-master
- cnn Mnist 两层卷积实现，可以达到97%d 识别率，大家可以拿来上手试用(CNN MNIST two layers)
deep_autoencoder_or_classifier@MNISTdigits
- SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)
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!!)
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
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)
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)
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)
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.)
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.)
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.)