搜索资源列表
ids-kdd99
- 基于Tensorflow用CNN(卷积神经网络)处理kdd99数据集,代码包括预处理代码和分类代码,准确率99.6%以上,并且快速收敛至最优值。(Based on Tensorflow (convolutional neural network) processing KDD99 data set based on CNN, the code includes preprocessing code and classification code, the accuracy rate is mor
shenjingwangluo
- 神经网络的相关资料,主要涉及算法分类的问题解决(Neural network related information, mainly related to the problem of algorithm classification)
iris
- 使用iris鸢尾花数据集测试rbf神经网络的分类效果(Using iris iris dataset to test the classification effect of RBF neural network)
chapter27
- 无导师学习神经网络的分类-矿井突水水源判别(Classification of Non - tutor 's Learning Neural Network - Discrimination of Mine Water Bursting)
Classification
- 离散Hopfield神经网络的分类实例,用于高校科研能力评价(Classification of discrete Hopfield neural network for evaluation of scientific research ability in Colleges and Universities)
NNCla
- 基于python3的,利用神经网络进行的一个简单的分类问题(Based on python3, a simple classification problem using neural networks)
BP神经网络的数据分类-语音特征信号分类
- bp网络用于数据分类,一类语音特征信号的分类,以供参考学习(BP network is used for data classification, and a class of speech feature signals is classified for reference learning)
cnn
- 这是一个经过自己整理的卷积神经网络的代码,对0-9数据集进行分类的代码,使用tensorflow框架完成的,主要使用的语言是Python,可以直接运行,初学者可以用于学习交流。(This is a self compiled convolutional neural network code, 0-9 data sets for classification of code, using the tensorflow framework to complete, the main languag
NN_Recognition
- matlab 神经网络字符识别,对字符图片进行分类识别(Matlab neural network character recognition, classification and recognition of characters and pictures)
案例1
- BP神经网络的数据分配,对语言特征信号进行分类。(The data distribution of the BP neural network is used to classify the language characteristic signals.)
bp神经网络
- 在matalab上利用bp神经网络对iris 数据进行分类(iris data mashine learning)
FeatureExtractionUsingAlexNetExample
- 本示例展示了怎样从一个预处理的卷积神经网络中提取特征,并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use
BP_Hidden
- 用BP神经网络对已经处理好的语音数据进行分类(Classification of processed voice data with BP neural network)
nn_classification
- 使用单隐层神经网络进行二分类 使用python语言,先生成一个数据集,无法(但尝试)用logistic回归对数据集进行二分类,最后使用单隐层神经网络对数据集进行分类(classify a dataset with a 3-dimensional hidden layer)
BP分类
- 利用BP算法进行分类的MATLAB 程序(MATLAB program classified by BP algorithm)
spam_email
- 利用BP神经网络对邮件分类,2分类,实现反向传播算法细节,非直接函数调用(BP neural network is used to classify mail, 2 classifications, to implement the details of backpropagation algorithm, non direct function call.)
神经网络
- BP神经网络,模拟人脑神经网络的生物过程,可用作分类、预测、等各方面(neural network for predict)
test_CNN
- 卷积神经网络,简单的对cifar数据集进行分类的代码(convolutional neural network)
caffe-201701
- 在linux平台上运用caffe使用神经网络算法对图像进行分类,预测。在计算机视觉中(机器人视觉中)占主导作用。(On the Linux platform, Caffe is used to classify and predict the image using neural network algorithm. It plays a dominant role in computer vision (robot vision).)
神经网络
- 利用RBF网络进行仿真实验,进行数据的分类(Using RBF network to carry out simulation experiments and classify the data)