搜索资源列表
深度学习模型(卷积神经网络,深信度网络和堆栈稀疏自动编码器)
- 深度学习网络,包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等
fft_convolution
- 实现了基于fft的卷积算法。更快速和高效(The convolution algorithm based on FFT is implemented)
jiaozhi
- 卷积码、bch码在交织技术不同的情况下进行误码率的仿真实验。(The convolutional code and BCH code are simulated experimentally under different interleaving techniques.)
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)
interv
- 交织可以使信道的突发错误转化成随机错误,是通信过程中的一个非常重要环节。实际应用中,交织类型非常之多,但最典型的类型主要有矩阵交织、卷积交织,和存储器交织,深刻了解交织原理的最好方式是对其仿真算法的实现,本算法来自卫星通信一线技术人员,非常精炼,值得通信同行借鉴。(Interleaving can make the burst error of the channel be transformed into random error, and it is a very important ste
viterbi
- 采用(2,1,8)卷积码编码,采用viterbi译码算法进行解码(2,1,8 convolutional code is used, and Viterbi decoding algorithm is used to decode)
juanji
- 卷积算法,自己用C语言编的。一个简单的二维数组卷积算法(Implementation of convolution algorithm in C language)
juanjiQt_5_8_0_.zip
- QT界面C语言编写的一个二维数组卷积的程序(QT interface C language programming of a two-dimensional array convolution)
Three_convolution
- matlab实现对图像的双三次卷积内插,以图像的缩放为例子(Matlab to the image of the double triple convolution interpolation, with the image zooming as an example)
convDBN-master
- 用于实现卷积深度置信网络,实现利用的是MATLAB代码(A deep belief network for convolution)
ids-kdd99
- 基于Tensorflow用CNN(卷积神经网络)处理kdd99数据集,代码包括预处理代码和分类代码,准确率99.6%以上,并且快速收敛至最优值。(Based on Tensorflow (convolutional neural network) processing KDD99 data set based on CNN, the code includes preprocessing code and classification code, the accuracy rate is mor
SimpleConvolution
- 一个简单的卷积内核计算,用OPENCL语言编写()
character recognition
- CNN卷积神经网络对字符进行训练、字符识别相关代码(Printed ink jet character recognition)
xian
- 数字信号处理实验线性卷积MATLAB程序(signal linear convolution)
cnn
- 这是一个经过自己整理的卷积神经网络的代码,对0-9数据集进行分类的代码,使用tensorflow框架完成的,主要使用的语言是Python,可以直接运行,初学者可以用于学习交流。(This is a self compiled convolutional neural network code, 0-9 data sets for classification of code, using the tensorflow framework to complete, the main languag
cnn
- 卷积神经网络(CNN),TensorFlow框架下运行,基于MNIST手写体数据集,可直接运行(Convolutional Neural Network (CNN), run under TensorFlow framework, can run directly based on MNIST handwritten dataset)
CubicConvolution
- 采用三次卷积法对图像进行插值,进行n倍的缩放,有示例图片,有注释,可运行,欢迎交流。(Using the Cubic Convolution method for image interpolation, n times zoom, there are examples of pictures, notes, can run, welcome exchanges.)
SVM-CNN-master
- 实现卷积神经网络与支持向量机的联合调试使用(Joint debugging and implementation of convolutional neural network and support vector machine)
深度卷积神经网络
- 作为类脑计算领域的一个重要研究成果,深度卷积神经网络已经广泛应用到计算机视觉、自然语言处理、信息检索、语音识别、语义理解等多个领域,在工业界和学术界掀起了神经网络研究的浪潮,促进了人工智能的发展。卷积神经网络直接以原始数据作为输入,从大量训练数据中自动学习特征的表示。(As the important research achievement, deep convolutional neural networks have been widely applied to various fiel
Lenet
- 卷积神经网络(lenet_5)代码,用于手写字符识别(code of convolutional neural network for handwork characterisic recognation)