搜索资源列表
samhdlvelopment
- Computes BER v EbNo curve for convolutional encoding soft de()
CNN
- 卷积神经网络是近年发展起来，并引起广泛重视的一种高效识别方法。20世纪60年代，Hubel和Wiesel在研究猫脑皮层中用于局部敏感和方向选择的神经元时发现其独特的网络结构可以有效地降低反馈神经网络的复杂性，继而提出了卷积神经网络（Convolutional Neural Networks-简称CNN）。现在，CNN已经成为众多科学领域的研究热点之一，特别是在模式分类领域，由于该网络避免了对图像的复杂前期预处理，可以直接输入原始图像，因而得到了更为广泛的应用。(Convolution neura
rhpnikx99
- convolutional codes & Viterbi decoding div hr div B 文件列表 B ： div div i()
image
- cifar 卷积神经网络 通过cnn识别图片，对神经网络进行训练，在识别cifar库(convolutional neural network)
FCIS-master
- 语义分割FCIS算法实现，可以在我的github上找到这个详细用法(Fully Convolutional Instance-aware Semantic Segmentation)
AshuCNN
- convolutional networks for image processing
chinese_test
- 手写汉字识别，数据集训练，MNIST，Deep Convolutional Network识别手写汉字(Handwritten Chinese character recognition, data set training, MNIST, Deep Convolutional Network)
卷积神经网络
- 建立卷积神经网络；使用训练样本对卷积神经网络进行训练；使用测试样本对卷积神经网络进行测试；卷积神经网络的前向计算过程；计算目标函数值，以及目标函数对权值和偏置的偏导数；更新网络的权值和偏置。(A convolutional neural network; convolutional neural network is trained using the training samples; test the convolutional neural network using the test s
基于卷积神经网络的手写汉字识别
- 基于卷积神经网络的手写汉字识别_matlab版本_可以识别509类手写汉字(Based on the _ handwritten Chinese characters recognition _matlab version convolutional neural network can identify 509 kinds of handwritten Chinese characters)
MNIST_CNN
- 用于MNIST数据集，训练卷积神经网络，预测准确率大约为99.3%(Training Convolutional Neural Network on MNIST dataset)
cnn
- 卷积神经网络的M语言实现，包含众多子程序(Convolutional Neural Networ)
sp_pagwf
- a hybrid deep convolutional neural network (CNN) for vehicle detection from satellite images. And the research in [13] introduced the stacked autoencoder to extract spatial informative features for hyperspectral images classification.
enc13
- encoded Recursive systematic convolutional (RSC)
27944613
- Computes BER v EbNo curve for convolutional encoding soft de()
exit
- 使用matlab的EXIT图程序，生成卷积码的外信息转移曲线，可用作译码性能估计(Using the EXIT program of MATLAB, the external information transfer curve of the convolutional code is generated, which can be used for decoding performance estimation)
class_images
- We present a visual assistive system that features mobile face detection and recognition in an uncon-strained environment from a mobile source using convolutional neural networks
RNNSharp-master
- Convolutional Neural Network
convolution_examples
- specific examples to describe how to use convolutional neural network in python
Deep_Neural_Network_Python
- Scalability Approach to Convolutional Neural Networks
NiftyNet-dev
- 医疗3d处理，即基于卷积神经网络的医疗影像分析平台(NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis)