搜索资源列表
stackedae_exercise
- 栈式自编码深度学习算法实现信号的分类，包含实例，用于动作的分类识别。(Stacked self classification, deep learning algorithm code signal contains examples for classification and recognition of action.)
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
文本深度挖掘
- 用于分析文档，分析情感指数，正负面情绪，及新闻分类(Used to analyze documents, analyze sentiment, positive and negative emotions, and classify news)
re
- 可用于 caffe环境，适于初学者,包括了五个类别，每个类别100张图片 ，有公交 恐龙 鲜花 马 大象。(it can be used in caffe environment. suitable for new learner)
v3qianyi
- 利用Google inception V3 实现迁移学习 进行图像分类(Using Google, inception, V3 to achieve migration learning, image classification)
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
ShuffleNet-master
- 一种专门为移动端设备而设计的高效卷积神经网络结构——ShuffleNet，这种新结构将点态组卷积（pointwise group convolution）和通道随机混合（channel shuffle）这两种经典方法进行结合与改进，大大提升了计算效率 。(ShuffleNet is an efficient convolutional neural network designed for mobile terminal devices. This new structure combines
DBN
- 深度学习网络DBN代码，可以直接运行，如果缺少数据库的话可自行建一个数据库进行分类。(This is a code for DBN in artificial intelligence)
minzmum
- 基本遗传学习分类系统,编写了基本遗传算法程序()
ELM分类器
- ELM是基于深度学习的分类器，运算速度快。 在B_data.m里导入待分类矩阵B.mat（1-n列为特征值，n列为标签）；运行B_data.m；再打开fuzzyEn_main.m并运行即可。(ELM is based on depth learning classifier, computing speed. In B_data.m imported matrix to be classified B.mat (1-n as eigenvalues, n as a label); Run B
bssftv
- 基本遗传学习分类系统,编写了基本遗传算法程序()
基于方差和深度学习的脑电信号分类算法
- 从深度学习方面解析脑电信号，通过方差计算脑电特征(Analysis of EEG signals from deep learning and calculation of EEG characteristics by variance.)
离散Hopfield神经网络的分类——高校科研能力评价
- 离散Hopfield神经网络的分类——高校科研能力评价(Classification of Discrete Hopfield Neural Networks: Evaluation of Scientific Research Ability in Universities)
SOM神经网络的数据分类--柴油机故障诊断
- SOM神经网络的数据分类--柴油机故障诊断，含有源程序和数据(Data Classification Based on SOM Neural Network--Diagnostics of Diesel Engine Containing Source Code and Data)
SVM的参数优化——如何更好的提升分类器的性能
- SVM的参数优化——如何更好的提升分类器的性能，含有源程序和代码(SVM parameter optimization - how to better improve the performance of the classifier, containing source code and code)
概率神经网络的分类预测-基于PNN的变压器故障诊断
- 概率神经网络的分类预测--基于PNN的变压器故障诊断，含有源程序和数据(Classification Prediction of Probabilistic Neural Networks--Based on PNN Transformer Fault Diagnosis)
Deep learning_CNN DBN RBM
- 运用深度学习模型实现图像的分类，主要包括卷积神经网络CNN和深信度网络DBN(Classification of images using deep learning model includes convolutional neural network CNN and belief network DBN.)
DeepLearningImageClassificationExample
- 这是一个标准的深度学习图像分类和目标跟踪的matlab程序，效果好，运行平台为matlab2017b.(This is a standard in-depth learning image classification and target tracking matlab program, good results, running platform for matlab 2017b.)
tensorflow-vgg16-train-and-test-master
- vgg深度学习，图像识别，用于图像的分类，在python上运行(vgg deep learning, image recognition, used for image classification, running on Python)
CNN_matlab
- 使用matlab2019a深度学习工具箱实现的CNN卷积神经网络分类例程，数据是随机生成的一维随机数(Using the CNN convolution neural network classification routine realized by MATLAB 2019a deep learning toolbox, the data is one-dimensional random number generated randomly)