搜索资源列表
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱，包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
BPCode
- 提供matlab平台，使用cnn算法的基础功能(Provide matlab platform, and use the basic function of CNN algorithm.)
HLS
- 基于vivado HLS高级综合工具实现的CNN网络(CNN network based on vivado HLS advanced comprehensive tool.)
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)
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.)
CNN+RNN
- 行人再识别 CNN+RNN 亲测有效，训练时间短(person re-identification CNN+RNN)
DeepLearnToolbox_CNN_lzbV3.0
- cnn的MATLAB编程语言可以进行学习深度学习的编程语言与基础应用(Cnn's MATLAB programming language)
MNIST
- 用CNN识别MNIST数据集，test集正确率98.3%(Identifying MNIST datasets with CNN)
CNN
- segmentation of images using cnn
CNN 11 tezhengtiqu
- 卷积神经网络，用于故障诊断，取得很好的识别效果(Convolution neural network is used for fault diagnosis and achieves good recognition results.)
张哲_017034910051_03
- 基于tensorflow的手写数字识别，MLP和CNN对比(the compare between MLP and CNN in Handwriting recognition.)
cnn人脸识别
- 用卷积神经网络做的人脸识别，准确率达到92.75%。(The accuracy of face recognition using convolution neural network is 92.75%.)
utf8''Traffic-sign-recognition
- 项目基于Tensorflow进行实现。 #### 文件说明： --- * input_data.py: 图片的输入 * traffic_sign_cnn.py: 用cnn进行训练分类 * testDemo.py: 用于测试已经训练出来的模型，输入单个图片输出结果，并分类到文件夹 #### 数据集说明： --- * 这里是列表文本使用的是比利时的交通标志数据集，可以网上自己找，里面
VGG19_with_tensorflow-master111
- 卷积神经网络,vgg19利用TensorFlow实现VGG19(cnn Convolution neural network, vgg19 realized vgg119 by tensor flow)
R-FCN
- R-FCN全卷积网络的目标检测神经网络，算法性能优于Faster R-CNN(R-FCN is an full convultional network, the performance of R-FCN outperform the Faster R-CNN)
CNN-SVM
- 运用卷积神经网络来提取图片的特征值并用SVM做出分类(using CNN And SVM to train my pictures.)
CNN
- 通过使用CNN来实现验证码识别的多任务学习(Using CAN to Achieve Multi-tasking Learning of Captcha Identification)
matlab-CNN代码理解
- 详细分析解释了CNN的代码实现过程，仅供参考(Analysis of MATLAB code in deep learning For reference only)
DeepLearnToolbox-master
- matlab深度学习工具箱,包括cnn,dbn,SAE等(DeepLearnToolbox for matlab)