搜索资源列表
LT-9
- 两线程随机离散卷积神经网络，针对LT-9数据集。(Two thread random discrete convolution neural network for LT-9 data set.)
CNN_visual.py
- 基于卷积神经网络的图片风格转换, 讲目标图片以转粉图片的风格重新处理释放出来(Image style transfer based on CNN)
jlxy
- 用卷积积分法作出例3.8-2的响应曲线的MATLAB程序(The response curve of an example 3.8-2 by the convolution integral method)
jjjff
- 采用卷积积分法计算单自由度体系的时间位移曲线，MATLAB程序(Convolution integral method is used to calculate the time displacement curve of the single degree of freedom system. The MATLAB program is used.)
GUI
- 对全息图进行卷积法的再现，利用matlab计算全息图模拟仿真(Reappearance of convolution method for hologram)
cdbn_matlab-master(3)
- 卷积深度信念网络进行图像建模、分类等应用代码(Convolution depth belief network for image modeling, classification and other application code.)
盲反还原失焦图像
- 失焦图像还原，盲目反卷积迭代处理图像，参考交流(Defocus image restoration, blind deconvolution iterative processing of images, reference communication)
network
- 卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
CNN
- 完整的CNN卷积神经网络创建、训练及测试。(Complete CNN convolution neural network is created, trained and tested.)
30861103tail_bitting
- 咬尾卷积码的MATLAB代码，讲的非常详细和深入(The MATLAB code of biting tail convolutional code is very detailed and thorough.)
Caffe-Python-Tutorial-master
- 深度学习下的卷积神经网络 剪枝算法 CNN(Deep learning Prune for CNN Deep learning Prune for CNN)
Conv_neural_net_NumPy
- 用numpy实现卷积神经网络的卷积、池化、ReLU操作。(numpy,Relu,pooling,conv)
卷积层，池化层样例
- tensorflow框架下的卷积层，池化层说明与样例，代码(Convolution layer, pooling layer illustration and sample code)
DeconvolutionCode-LevinEtAl07
- 所附代码提供了上述三种反卷积策略的实现。要开始，用户应该检查文件demo.m。反褶积子程序在以下文件中实现:deconvL2频率.m:在频域反褶积，假设高斯导数在前面。2.deconvL2.m:利用共轭梯度算法，假设在空间域上存在高斯导数先验的反褶积。3.deconvSps.m:利用迭代重加权最小二乘算法，在空间域上假设一个稀疏导数先验的反褶积。(The enclosed code provides the implementation of the above three deconvolut
adaptive TVMM demo
- 全变分图像反卷积:MAJORIZATION-MINIMIZATION方法。 《TOTAL VARIATION-BASED IMAGE DECONVOLUTION: A MAJORIZATION-MINIMIZATION APPROACH》这篇论文的源码 本文提出了一种新的在全变差正则化条件下图像反褶积的最大化-最小化算法。(Totally variational image deconvolution: The source of this paper TOTAL VARIATION-B
Tensorflow CNN
- 卷积神经网络识别手写数字，放在jupyter直接跑，99%识别率，已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
gcn-master
- 图卷积神经网络实现代码， python实现了图卷积神经网络的功能。(the code for gcn use python the paper is COVARIANT COMPOSITIONAL NETWORKS FOR LEARNING GRAPHS)
基于MATLAB的OFDM仿真设计实验报告
- 包含有数字通信课程实验大作业报告与代码。完成的OFDM的收发包含：1.卷积编码、2.自动增益控制、3.极大似然判决、4.QPSK收发、5.帧检测等，代码在MATLAB2016b环境下编译通过(It contains the report and code of the experiment assignment for the course of digital communication. The completed OFDM transceiver includes: 1. convolut
盲迭代反卷积法
- 通过迭代盲去卷积来进行图像去模糊处理。(Iterative blind deconvolution)
DnCNN-master
- 卷积神经网络进行图像去噪，比较经典的一篇文章代码。(The convolutional neural network performs image denoising and compares the classic article code.)