搜索资源列表
minst_cnn
- CNN MNIST (include mnidt dataset)
cnn_exercise
- 深度学习CNN代码,帮助理解卷积网络，代码是可以运行的，没有问题(Deep learning CNN code to help understand the convolution network, the code is running, no problem.)
face-generator-master
- word test for cnn genrate face(cnn for c++, face generater zip)
组会材料
- CNN, RNN领域的一些优秀论文, 内容包括机器翻译等应用, 也包括一些入门材料。(Good papers about CNN and RNN)
py-faster-rcnn-master
- faster-r-cnn实现 可用 网上还有大量教程(faster-r-cnn source code)
matlabCNN
- 基于CNN的卷积神经网络的matlab代码，方便简单(cnn matlab code good for learner)
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_new
- 用matlab实现CNN算法，用于深度学习(Implementation of CNN algorithm with MATLAB)
main
- 使用CNN进行一维卷积，对数据进行预测估计(Using CNN to carry out one dimensional convolution to predict the data)
alexnet
- CNN in matlab to use webcam for things rgconitzing
CNN_easy
- 简单CNN神经网络的TensorFlow实现(TensorFlow implementation of simple CNN neural network)
tensorflow_CNN
- 使用tensorflow实现CNN 模型(implement CNN model using tensorflow)
SRCNN
- 是《Learning a Deep Convolutional Network for Image Super-Resolution》文章相关的MATLAB代码，可以利用训练好的字典，通过CNN实现超分辨率重建(SR)的功能。(Matlab demo code for "Learning a Deep Convolutional Network for Image Super-Resolution" (ECCV 20
mxnetcnn-master
- 利用mxnet构建cnn，对cifar-10 图片进行分类识别(Using mxnet to construct CNN for classification and recognition of cifar-10 pictures)
CnnClassifyFlowers-master
- 利用tensorflow平台构建cnn，对花进行分类(Using the tensorflow platform to build CNN to classify flowers)
cnn-text-classification-tf-master
- It is slightly simplified implementation of Kim's [Convolutional Neural Networks for Sentence Classification](http://arxiv.org/abs/1408.5882) paper in Tensorflow.
matconvnet-master
- 使用matlab实现的底层cnn算法，包括求卷积，池化，和反向传播等操作(The underlying CNN algorithm implemented using MATLAB, including convolution, pooling, and backpropagation operations)
wl01
- 神经网络浮雕化处理，神经网络对图像的处理(Robust Design and Research Based on CNN Embossing Effect)
CNN_matlab代码_可直接编译
- CNN的matlab实现，下载了数据库，修改了bug，可以直接编译运行(The implementation of CNN with Matlab,download the data and No bug,can run it immediately)
deep-learning-HAR-master
- 一份用tensorflow平台做的cnn分类时序信号，是分类UCI 项目中的人体活动识别（HAR）数据集。该数据集包含原始的时序数据和经预处理的数据（包含 561 个特征）(A CNN classification timing signal made by tensorflow platform is a human activity recognition (HAR) dataset in the classified UCI pr