搜索资源列表
DNRBM
- 采用栈式 RBM 的深度神经网络。自训练, 自控制(This paper is a continuation of the depth of the neural network and the choice of the previous predictor. Here we will be covered by the depth of the neural network characteristic of stacked RBM
zifenlei
- 从MATLAB中产生数据，数据分成训练集和测试集，并对数据进行分类训练。(Data is generated from MATLAB, the data is divided into training sets and test sets, and data is classified and trained.)
newff
- bp神经网络模型训练，简单的三层二级网络(bp train bp modelbp train bp modelbpbp train bp model train bp modelbp train bp modelbp train bp modelbp train bp model)
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
picstomat
- 将图片转化为.mat格式的数据，用于训练。(transfer pictures to .mat data.)
训练车牌库
- Haclon的源代码，车牌识别Demo，可自行训练字符库(License plate recognition, self-training character library)
70616536matlab
- 采用BP网络,NEWCF--生成一个新的前向神经网络,TRAIN--对网络进行训练, 定义训练样本(Using the BP network, NEWCF-- generates a new forward neural network. TRAIN-- trains the network to define training samples.)
47016
- SKLearn 的ＳＶＣ工具包，用于测试训练样本集的练习(The tools for SKLearn SVC)
基于训练样本自动选取的SVM彩色图像分割方法研究
- 该文献主要介绍了基于训练样本自动选取的SVM彩色图像分割方法，详细的对比了各种方法的优缺点(This paper mainly introduces the SVM color image segmentation method based on the training sample automatically, and compares the advantages and disadvantages of various meth
P5-2 PSO训练神经网络
- 通过粒子群算法训练神经网络，实现一个简单的人工智能算法(Training neural network through PSO)
An introduction to practice
- 入门训练，测试已通过，放心参考；与官方答案不同(Introduction training, test has passed, rest assured reference;It's not the official answer.)
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)
hybrid_PSO___GD_training_of_RFNN
- 混合粒子群优化的神经网络训练完整代码，matlab实现(hybrid particle swarm optimization for RFNN training implemented by matlab)
英文打字训练程序
- 随机产生100个英语字母的范文，用户按范文打字录入。录入开始时进行计时，录入结束后，计算录入的时间和正确率(A model of 100 English letters is produced randomly, and the user is typed by the model. When the entry starts, the time and accuracy of the input are calculated afte
split_data
- 通过CRF++得到的训练集，在CRF++模型中训练model(Training set through CRF++, training model in the CRF++ model)
产生训练文件升级版
- 训练了通用机打发票的字符识别，能识别通用机打发票的字符(Trained the character recognition of the general machine Invoicing to identify the characters of the general machine for invoicing)
SVM
- 采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)
Train_test25
- 基于支持向量机的数据训练，用matlab实现(Data training based on support vector machine. using matlab to finish this process)
protocol7_0(student)edited
- 通信协议的训练平台的搭建内撒肯德基浩丰科技sad浩丰科技(skdjfhsdkjfhskjdfhkjsdhfkjshdjfkhskjdfhsdfsdf)
trainning_vs_pilot
- 文中在发送数据前先发训练序列和导频序列，在接收端对接收到的信号进行信道估计，再将得到的信道信息来解调我们有用的信号(In this paper, the training sequence and pilot sequence are sent before sending the data, the received signal is estimated at the receiving end, and then the obta