搜索资源列表
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)
cell
- 2018年2月cell封面论文代码，压缩包中有对这篇文章的解读，ppt文件(Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning)
faceRecognition
- 基于深度学习的卷积神经网络CNN的matlab小程序(Matlab small program of convolution neural network CNN based on depth learning)
数电
- 超分辨率卷积神经网络的学习，可以运行.我通过了这个学习了SRCNN的三个主要步骤(The study of SRCNN,which will help for you)
assignment1
- 斯坦福大学CS231n深度学习课设1111(CS231n depth study in Stanford University 1111)
Run_MNIST
- 下载MNIST数据集(手写体数字0-9)后，搭建卷积神经网络，将输入的数据集经过一层一层的卷积，到最后计算交叉熵，用梯度下降算法去优化它，使它变得最小，这就训练出了权重和偏置量，识别的准确率为91%(Download the MNIST data set (handwritten number 0-9), build a convolutional neural network, the input data set by convolutional layers, finally calcul
cnn图像分类
- 基于Tensorflow下的cnn卷积神经网络实现图像的分类(Image classification CNN convolutional neural network based on Tensorflow)
LIVE1_train_test
- 卷积神经网络，用于立体图像质量评价，附带说明(The application of convolution neural network to the quality evaluation of stereoscopic images)
my_cnn.tar
- 用卷积神经网络实现手写数字识别，数据集为mnist数据集(Convolution neural network is used to realize handwritten numeral recognition. Data set is MNIST data set.)
matlab
- 本文件中代码使用前馈卷积神经网络对图像进行去噪(In this paper, we use the feedforward convolution neural network to denoise the image.)
Convolutional-Neural-Network-master
- 基于MATLAB实现的卷积神经网络例子，包括详细的解释。(An example of convolution neural network based on MATLAB)
Naive CNN 18 multiplication per clock cycle_V3
- 此文件是卷积神经网络中的卷积核的硬件实现代码(CNN:filter/filter3*3 filter4*4 filter5*5 filter6*6)
pyDogVsCat
- 识别率85%，kaggle上有名的猫狗大战算法，可以很方便的查看分类结果。每一个epch需要22s左右（GTX1050Ti 4G）(The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G))
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)
CNN
- 手写体识别的训练，采用卷积神经网络，附带数据集下载代码(The training of handwritten recognition is based on convolution neural network, and the download from the dataset.)
first
- 车牌定位 车牌分割 字符识别 正如上面所讲,车牌识别主要分为3个部分,其中第一部分车牌定位,一般采用颜色定位,特征定位等,这方面一堆资料我就不写了.分割一般采用投影法.识别的话方法就比较多了,有模板匹配,bp神经网络,卷积神经网络等.(pan.baidu.com/s/1jIdSuXK)
SpeechEmoRec-master
- 语音情感识别。使用卷积神经网络对语音情感识别(speech emotion recognition)
matconvnet-manual
- 图像深度学习英文资料；卷积神经网络的MATLAB(Image depth learning English materials;Convolutional Neural Networks for MATLAB)
cnn-text-classfication
- 通过机器学习中的卷积神经网络实现对文本进行分类的算法。(The text is classified by the convolution neural network.)
新建文件夹
- 实现基于卷积神经网络的图像超分辨率重建，并给出了PSNR值和SSIM值。(Realization of image superresolution reconstruction based on convolution neural network.)