搜索资源列表
CNN_toolbox
- 卷积神经网络（CNN）算法，含有训练程序和测试程序 -CNN method by matlab,including the training data and the testing method
NNDeeplearning
- 深度学习的一些工具包和一些例程，有关于BP神经网络，卷积神经网络等。用于熟悉相关算法基本够用。比较适合想了解此类内容的初学者。-Some Tools of deep learning. Eg:NN,CNN,BP and so on. It s pretty well to student.
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
DeepLearnToolbox-master
- 这是深度学习的常用工具箱，里面包括常用的自动编码器、卷积神经网络和深度置信网络的函数- This is a common toolbox depth study, which includes functions commonly used automatic encoder, convolutional neural network and depth of belief networks
M-Tool-CNNs
- 深度学习之一，卷积神经网络例程，包括结构设置、系数更新、测试数据库等。-One deep learning, neural network convolution routines, including structural arrangement, the coefficient update, test s.
CNN-Toolbox
- 卷积神经网络程序，包含训练数据样本，具有一定参考价值-Convolutional neural network program, including training data samples, with a certain reference value
CNN
- CNN卷积神经网络的matlab实现，CNN主要用来识别位移、缩放及其他形式扭曲不变性的二维图形。并附有相关说明-Realization of CNN Convolution Neural Network by,CNN is mainly used to identify displacement, zoom and other forms of twisted invariance of the two-dimensional graphics, With instructions
cnn
- 基于MATLAB的RCNN卷积神经网络例程，非常适合新手入门的例程程序，值得拥有！- U57FA u4E8EMATLAB u7684RCNN u5377 u79EF u795E u7ECF u7F51 u7EDC u7A0B uFF0C u975E u5E38 u9002 u5408 UFF0C u503C u5F97 u62E5 u6709 uFF01
CNN
- 卷积神经网络的全部代码，已经调试通过了，可用于特征选择(Convolutional neural network all the code, has been debugged, and can be used for feature selection)
DeepLearnToolbox-master
- 深度学习工具箱，包括卷积神经网络，DBN等，可以运行tests文件碱性测试所有的代码(Depth learning toolbox)
深度学习模型（卷积神经网络，深信度网络和堆栈稀疏自动编码器）
- 深度学习网络，包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等
Lenetchange
- 卷积神经网络CNN，基于手写体数据库的相关训练(Convolution neural network, handwriting training)
matconvnet-1.0-beta19.tar
- matlab实现CNN卷积神经网络，进行图像分类。(We can realize neural network with matlab, which will complete the classification of the image.)
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
CNN
- %得到卷积层的featuremap的size，卷积层fm的大小 为 上一层大小 - 卷积核大小 + 1（步长为1的情况） %得到卷积层的featuremap的size，卷积层fm的大小 为 上一层大小 - 卷积核大小 + 1（步长为1的情况）(Wang Yuting has a severe muscular dystrophy with only two arms to move about 5 centimeters. But she was determined to be a pain
matlabCNN
- 基于CNN的卷积神经网络的matlab代码，方便简单(cnn matlab code good for learner)
CNN_7
- 卷积神经网络的简单Matlab小程序仿真(Simple Matlab small program simulation of convolution neural network)
classifier_cnn
- 以卷积神经网络对遥感数据（PaviaU）进行分类的一个算例，对于卷积神经网络的学习很有帮助。(An example of classification of remote sensing data (PaviaU) by convolution neural network is very helpful for the learning of convolution neural network.)
俩个卷积神经网络代码
- 卷积神经网络代码，用MATLAB语言编写，可在maltab平台中运行。(Convolutional neural network code, written in MATLAB language, can run in maltab platform.)
Matlab实现卷积神经网络对Mnist数据集的识别
- matlab实现卷积神经网络对mnist数据集的的识别。程序完整，函数处理好的数据集，可以直接是使用。