搜索资源列表
Altium_designer_PCB训练手册
- Altium 的训练手册，推荐入门者学习！(Altium Designer manual)
bppid_S函数
- bp神经的S型函数，开发与matlab平台，可以借用于相关算法的训练学习。(BP neural S function, developed and MATLAB platform, can be used for the training of related algorithms learning.)
bp-分类器
- 这是bp神经网络的M文件，包括BP网络的第一阶段学习期（训练加权系数wki，wij)，BP网络的第二阶段工作期（根据局训练好的wki，wij和给定的输入计算输出），程序里有详细注释。该程序被用来作为分类器使用。(This is the BP neural network M files, including the first phase of BP network learning period (training weighting coefficient wki, wij), the se
jtold
- 介绍了基于分解思想的支持向量机的训练算法,()
Knn_train_mnist
- 利用Python实现Mnist数据集训练knn算法(Use Knn method to train mnist.)
encode-xunlian(1)r
- 从给定的很多张自然图片中截取出大小为8*8的小patches图片共10000张，现在需要用sparse autoencoder的方法训练出一个隐含层网络所学习到的特征。该网络共有3层，输入层是64个节点，隐含层是25个节点，输出层当然也是64个节点了。这里只是上传了训练的部分代码，后续继续(A total of 10000 small patches pictures with size 8*8 are extracted from a lot of natural pictures. Now
636614
- 使用遗传算法对BP网络权值阈值进行优化,再用BP算法训练网络()
962569
- 通过已知的先验概率,在输入训练序列之后,可以对数值进行判别是属于哪一类的数据,简单可以应用于模式识别()
bp
- 新手入门推荐：神经网络代码,根据神经网络来训练学习，将一些不同的数据挑选，训练成合适的数据，根据这些数据可以预测之后的会产生的新数据(Neural network code, based on neural network training learning, will pick up some different data and train them into suitable data. According to these data, we can predict the new dat
纯C-CNN
- 纯C深度学习库，里面包含MNIST手写数字识别数据集，编译就能训练和预测(Pure C depth learning library, which contains MNIST handwritten digital recognition data sets, compiling can be trained and predicted.)
学习程序样例
- 演示模型便展示了一学习算法的训练结果，它非常生动地、系统地复现了生物神经网络的活动。(The demonstration model shows the training results of a learning algorithm, which vividly and systematically recombines the activities of the biological neural network.)
ym_model
- 本项目包括XGB模型训练所需的数据，etl代码，模型训练代码(This project includes the data required for XGB model training, etl code, model training code)
情感分析
- 分类，用于对情感词的统计、排序、分类等 包括源程序、数据拆分程序、训练集和测试集(Classification for statistics, sorting and classification of emotional words Includes source programs, data split programs, training sets, and test sets)
deepdesc-release-master
- 利用深度学习对特征描述符进行训练，得到较精确的特征描述符(The feature descr iptors are trained by depth learning to obtain more accurate feature descr iptors)
lbpcascade_animeface-master
- 利用opencv资源库里自带的lbpcascade_animeface.xml，对普通人脸进行识别，如果有数据库的话，也可以自己训练学习，提取人脸特征，进行学习(We use the lbpcascade_animeface.xml in opencv repository to recognize normal faces. If there are databases, we can also train ourselves to learn, extract facial features
KNN
- 利用KNN算法识别手写数字，zip内包含训练数据集和测试数据集(This is a handwriting number recognition demo using kNN algorithm)
COSFIRE
- 对于给定的一张图片，通过COSFIRE滤波器，不断学习得到训练图片分支点的特征，用于待检测图片的分支点检测。(For a given image, through the COSFIRE filter, the characteristics of the branch points of the training picture are continuously learned and used for the branch point detection of the picture to
Tools-master
- 制作训练数据的python文件，用于深度学习的训练(Python file for making training data)
Tacotron-2-master
- 机器学习,人声训练,老外编译好的东西，不错，可以学习一下下(Machine learning, voice training, foreigner compiled things, yes, you can learn about it.)
ELM
- 极限学习机（ELM算法）初级版本，包括训练和测试两个版本，数据：http://benchmark.ini.rub.de/?section=gtsrb&subsection=news(Extreme learning machine (ELM algorithm) preliminary version)