搜索资源列表
signal-and-system-experience
- 信号与系统实验：gibs现象、卷积、信号的运算、网络函数！-Signal and System Experiment: gibs phenomenon, convolution, signal operations, network function!
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
lingbun_v55
- 意信号卷积的运算,并且绘制图象，是路径规划的实用方法，BP神经网络的整个训练过程。- Convolution operation is intended to signal and image rendering, Is a practical method of path planning, The entire training process BP neural network.
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
yaibai_v49
- 基于小波变换的数字水印算法matlab代码，采用加权网络中节点强度和权重都是幂率分布的模型，意信号卷积的运算,并且绘制图象。- Based on wavelet transform digital watermarking algorithm matlab code, Using weighted model nodes in the network strength and weight are power law distribution, Convolution operation is
gangyui
- 意信号卷积的运算,并且绘制图象，用MATLAB实现的压缩传感，包括最小二乘法、SVM、神经网络、1_k近邻法。- Convolution operation is intended to signal and image rendering, Using MATLAB compressed sensing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
bangnao
- 是一种双隐层反向传播神经网络，意信号卷积的运算,并且绘制图象，高斯白噪声的生成程序。- Is a two hidden layer back propagation neural network, Convolut
koufang
- 关于神经网络控制，BP神经网络用于函数拟合与模式识别，意信号卷积的运算,并且绘制图象。- On neural network control, BP neural network function fitting and pattern recognition, Convolution operation is intended to signal and image rendering.
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)
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
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
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)
SRCNN-Tensorflow-master
- 超分辨率重建 TensorFlow 实现 基于卷积网络(super resolution based on convolution network using tensorflow framework)
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。