搜索资源列表
cnn
- matlab卷积神经网络cnn，用于手写字体识别或者其他都可以(matlab cnn For handwritten font recognition or anything else)
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)
CNN-matlab
- 卷积神经网络在matlab中的应用，可自行修改学习率和循环次数(Convolutional Neural Network in Matlab)
matlab实现LeNet
- 卷积神经网络LeNet代码，可实现图片分类(Convolution neural network code)
111.rar
- 有关于直接可运行卷积神经网络的各类matlab源代码(The matlab code of the convolution neural network can directly run the matlab code of the convolution neural network,)
SRCNN_TEST
- 基于卷积神经网络的图像超分辨率重建，不含训练程序，包含已训练好的model !(Test code for Super-Resolution Convolutional Neural Networks (SRCNN))
CNN卷积神经网络数字识别
- 关于神经网络的例子以及pdf，很详细，入门推荐。(About example of neural network and pdf, it is very detailed.)
卷积神经网络python代码
- 用于进行图像识别与大型图像的处理，是一种高效的识别方法(It is an efficient recognition method for image recognition and large image processing.)
spr-7
- 采用两线程随机离散卷积神经网络针对触觉序列进行特征提取与分类。(Two thread random discrete convolution neural network is applied to feature extraction and classification for haptic sequences.)
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)
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.)
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)
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)
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.)
CNN
- 该代码文件全称为卷积神经网络，这是深度学习神经网络里面处理图片比较好的网络。(The code file is called convolutional neural network, which is a better network for processing pictures in deep learning neural network.)
04.CNN处理CiFar
- 以python语言为基础，利用tensorflow机器学习架构，两层卷积神经网络实现，CiFar数据集图片分类功能。(Based on Python language, using tensorflow machine learning architecture, two-layer convolutional neural network, CiFar data set image classification function.)
CNN_Pavia-master
- 使用卷积神经网络进行高光谱遥感数据分类，使用的数据源为Pavia University高光谱数据 文件夹log--日志文件夹，存放TensorBorad日志、网络参数文件、混淆矩阵图 文件夹Patch--存放数据处理的切片结果 文件夹PaviaU--高光谱数据下载存放位置 文件夹predicted--CNN对原始影像的分类结果 data.py--对原始高光谱影像进行数据处理，生成切片 net.py--神经网络模型 train.py--训