搜索资源列表
Adaptive-DeconvNetToolbox
- 自适应卷积网络工具箱，深度学习入门者可以研究看看。-The Adaptive the convolution Network Toolbox, depth learning beginners can look at the problem.
CNNmatlab
- cnn卷积神经网络用于手写数字识别，cnet_tool是一个demo-cnn convolution neural network for handwriting recognition, cnet_tool is a demo
convlutional_network_GPU
- 卷积神经网络在GPU上的加速，很好的源代码-Convolution neural network acceleration on the GPU
rcnn-master
- 区域卷积网络 深度学习在目标检测、图像分割方面的应用代码 基于caffe操作平台-region convolutional net ,the adaptin of dep learning on object detection and segmentation
DeconvNetToolbox
- 反卷积网络 深度学习网络深层特征可视化 zeiler-deconvolutioanal net visualized the deep net features
rcnn
- RCNN,Region Based CNN,即基于区域的卷积神经网络代码，在许多数据集上刷新了识别记录，这是其实现代码，研究深度学习的同学可以下载，比较有帮助。-RCNN, Region Based CNN, namely the convolution neural network code based on the region in many data sets refresh identification record, this is the realization of the co
SRCNN_v0.1
- 香港中文大学汤晓鸥教授 使用卷积神经网络（CNN）实现超分辨率-Professor Tang Xiaoou Chinese University of Hong Kong using convolution neural network (CNN) to achieve super-resolution
MYCNN
- 基于CNN的手写文本识别，卷积神经网络模型，并受到深度学习中预训练方式的启发，提出一种类别累加的训练方式，采用这种类别累加方式进行卷积神经网络模型的训练-Handwritten text recognition based on CNN neural network model, convolution, and inspired by the pre training in depth study, put forward a kind of category cumulative train
eccv_2014_deepresolution
- 汤晓鸥的一篇论文，使用卷积神经网络实现图像的超分辨率。-Tang Xiaoou s a paper, the use of convolutional neural network to achieve image super-resolution.
CNN-MINIST
- 利用卷积神经网络进行MINIST数据集的分类识别，MATLAB源程序。-Convolution neural network classification MNIST dataset, MATLAB source.
CNN
- 卷积神经网络的c++ 实现版本，本文件主要供学习机器学习的同学使用，里面代码有详细注释-CNN matlab
caffe-PDF
- CNN 卷积神经网络window下配置文档-The convolution of the CNN neural network configuration document under the window
FaceRecognition_CNN(olivettifaces)
- Python实现的基于卷积神经网络的人脸识别测试程序，包含了实验所需的图片数据。-Python implementation of the neural network based on the convolution of the face recognition test procedures, including the required image data.
waifu2x-converter-cpp-1.1.1
- 针对动画风格图片进行超分辨率的一种算法，基于卷积神经网络实现。-A super-resolution algorithm for image animation style, convolution-based neural network.
DeepLearnToolbox-master
- 深度学习工具包，包含神经网络，卷积神经网络等众多深度学习工具的MATLAB源码-MATLAB source deep learning kits, including neural networks, neural networks, and many other convolution depth learning tool
1
- 基于全卷积网络的场景文本检测,深度学习相关的图像处理文章，比较热门的方向。-Scenario-based text full convolution network detection, the depth of learning-related image processing articles, more popular direction.
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))
Convolutional-Neural-Network-master
- matlab，深度学习工具箱，经典的卷积神经网络，共有两层卷积层。输入为28*28*1的图片(Matlab, the deep learning toolbox, the classic convolution neural network, has two volumes of layers. A picture entered into 28*28*1)
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.)
卷积神经网络去雾
- 该代码实现了使用Matlab实现卷积神经网络来对图像进行去雾操作。(This code implements a convolutional neural network using Matlab to defog the image.)