搜索资源列表
loadcaffe-master
- 通过caffe和matlab，实现cnn网络(supported by https://github.com/soumith/inception.torch NN support means both CPU and GPU backends. You can also use Caffe inside Torch with this: https://github.com/szagoruyko/torch-caffe-bi
CNN_Torch7-master
- 在ubuntu下实现cnn网络，有相关数据集(CNN_Torch7 ========== This code use the code of Supervised Learning tutorial of Torch7. I add the loading of image by using graphicsMagick for Torch7. 1. for the code intepretation: http://cod
main
- 基于深度学习框架keras的一个实验例子，简易CNN模型(Based on the depth learning fr a mework keras an experimental example, a simple CNN model)
cnn
- 运用java语言简单实现卷积神经网络算法(Simple implementation of convolutional neural network algorithm using java language)
CNN-master
- 深度学习 卷积神经网络 手写体识别 准确率98%(deeplearning CNN handwrite accuracy98%)
cnn
- 一个简单的CNN的matlab实现，用于分割脑血管(a simple implementation of convolutional neural networks and just for the Segmentation of Brain Vessels)
CNN for Image Retrieval Using MatConvNet.tar
- 使用深度学习框架-MatConvNet实现图像检索(Code for image retrieval using MatConvNet (a popularDeep Learning fr a mework))
insuranceQA-cnn-lstm-master
- 这是一个保险语料的一个简单的问答系统，采用cnn和lstm分别进行试验，分别验证效果的改变，文件包括两个版本，tensorflow和theano。(This is a simple question answering system for insurance corpus, which is tested by CNN and LSTM respectively, and the results are verified separa
CNN_OCR
- 平台MXNet上实现基于CNN的光学字符数字识别。(Implementation of optical character recognition based on CNN on platform MXNet.)
cnn-示例
- 卷积神经网络的结构模型，可实现对图像进行训练与识别(The structure model of the convolution neural network can realize the training and recognition of the image)
CNN
- matlab实现卷积神经网络的程序，通俗易懂。(Matlab realize convolutional neural network program, easy to understand.)
code&doc
- 基础的卷积神经网络代码，实现mnist手写字符识别，含中文文档说明(Basic CNN code, including detailed annotation in Chinese)
MINIST_CNN
- 使用卷积神经网络实现手写体识别，有train.m与test.m，里面附有数据集(use CNN to recognize the ministdataset)
mdCNN-master
- CNN - Convolutional neural network for brain tumor
64403
- CNN convolutional neural network
MexConv3D-master
- mexconv3d cnn ..easy to under stand
Essay
- using KERAS in python and CNN to get modualtion classification
CNN_Examples
- Nowadays, CNN becomes more and more useful in solving engineering issues. This simulation is to help you understand the original idea proposed by L.O. Chua and Yang. Please read thorough Readme.txt, original papers befo
Lenetchange
- 卷积神经网络CNN，基于手写体数据库的相关训练(Convolution neural network, handwriting training)
Image Identification
- 采用CNN 卷积神经网络对图像进行识别，两种方法，CNN,,MLP(CNN convolution neural network for image recognition, two methods, CNN, MLP)