资源列表
Matlab神经网络工具箱应用简介
- 学习人工智能编程的学习资料很不错，欢迎下载(Learning the learning materials of artificial intelligence programming is very good)
mnist
- 使用了全连接网络，卷积神经网络，循环神经网络分别构建不同的分类器，如何通过模型保存原理进行保存。(Using the fully connected network and convolution neural network, recurrent neural network builds different classifiers respectively, and how to save them through the preservation principle of the mode
机器学习pics
- 17张思维导图+1张机器学习图，每张图都很有指导价值(17 thinking map +1 machine learning diagram)
基于bp神经网络的孤立词识别
- 利用MATLAB，实现对一些孤立词的识别。语音识别的一种(bp matlab recongnation)
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)