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.
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
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.
keras-master
- 神经网络用来keras框架源码，非常的适合初学者来学习卷积神经网络(Keras neural network framework for source code)
PyConvNet-master
- python实现卷积网络，实现简单的图片分类的功能(Implementation of coiler network with Python)
character recognition
- CNN卷积神经网络对字符进行训练、字符识别相关代码(Printed ink jet character recognition)
cnn
- 基于python tensorflow框架构建的卷积神经网络用来识别图像，附带训练数据集的制作代码。(The convolution neural network based on the python tensorflow framework is used to identify images with the production code of the training data set.)
cn24
- CN24是一个完整的语义分割框架充分利用卷积网络。它支持多种平台（Linux，MAC OS X和Windows）和库（OpenCL，英特尔，AMD aCML……）同时提供免费的参考实现的依赖。软件开发的计算机视觉组和在耶那大学。(CN24 is a complete semantic segmentation framework that makes full use of the convolution network. It supports a variety of platforms (
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_Edge
- 采用卷积神经网络进行边缘检测,采用MATLAB语言编写。(Edge detection using convolution neural network)
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.)
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.)
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)
opencv-semantic-segmentation
- 基于opencv的道路图像语义分割，用全卷积网络实现的(Road image semantics segmentation based on OpenCV and implemented by full convolution network)
matlab手写卷积神经网络人脸识别
- 基于卷积神经网络的人脸识别，学生作品啊啊啊啊啊啊(open face cnn student school what i should do)
cnn-edge-detection
- 卷积神经网络实现图像的边缘检测+python代码(CNN-edge-detection-python-codes)
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.)
1DCNN
- 使用卷积神经网络实现心电异常分类，内含损失函数，验证集、测试集等(ECG anomaly classification using convolutional neural network)