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cnn-master

于 2020-03-06 发布

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下载积分: 1 下载次数: 7

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代码说明：

说明：卷积神经网络，可以很好的实现文本分类或者图像识别(Convolutional Neural Networks)

文件列表：

cnn-master, 0 , 2016-11-22
cnn-master\Dataset, 0 , 2016-11-22
cnn-master\Dataset\MNIST, 0 , 2016-11-22
cnn-master\Dataset\MNIST\loadMNISTImages.m, 826 , 2016-11-22
cnn-master\Dataset\MNIST\loadMNISTLabels.m, 516 , 2016-11-22
cnn-master\Dataset\MNIST\t10k-images-idx3-ubyte, 7840016 , 2016-11-22
cnn-master\Dataset\MNIST\t10k-labels-idx1-ubyte, 10008 , 2016-11-22
cnn-master\Dataset\MNIST\train-images-idx3-ubyte, 47040016 , 2016-11-22
cnn-master\Dataset\MNIST\train-labels-idx1-ubyte, 60008 , 2016-11-22
cnn-master\DebugTools, 0 , 2016-11-22
cnn-master\DebugTools\computeNumericalGradient.m, 1250 , 2016-11-22
cnn-master\DebugTools\display_network.m, 2647 , 2016-11-22
cnn-master\DebugTools\grad_check.m, 679 , 2016-11-22
cnn-master\DebugTools\samplePatches.m, 733 , 2016-11-22
cnn-master\DebugTools\thetaChange.m, 2647 , 2016-11-22
cnn-master\Demo, 0 , 2016-11-22
cnn-master\Demo\cnnTrain.m, 1530 , 2016-11-22
cnn-master\Demo\config.m, 719 , 2016-11-22
cnn-master\Demo\configTestGradient.m, 1064 , 2016-11-22
cnn-master\LICENSE, 18026 , 2016-11-22
cnn-master\README.md, 2198 , 2016-11-22
cnn-master\Testing, 0 , 2016-11-22
cnn-master\Testing\test.m, 102 , 2016-11-22
cnn-master\Testing\testGradCom.m, 1718 , 2016-11-22
cnn-master\Testing\testInit.m, 93 , 2016-11-22
cnn-master\Testing\testThetaChange.m, 651 , 2016-11-22
cnn-master\TrainingMethod, 0 , 2016-11-22
cnn-master\TrainingMethod\minFuncSGD.m, 2538 , 2016-11-22
cnn-master\cnnCost.m, 8029 , 2016-11-22
cnn-master\cnnInitParams.m, 2619 , 2016-11-22
cnn-master\layer, 0 , 2016-11-22
cnn-master\layer\Test.m, 3956 , 2016-11-22
cnn-master\layer\TestPool.m, 231 , 2016-11-22
cnn-master\layer\cnnConvolve.m, 3133 , 2016-11-22
cnn-master\layer\cnnParamsToStack.m, 1403 , 2016-11-22
cnn-master\layer\cnnPool.m, 2525 , 2016-11-22
cnn-master\layer\nonlinear.m, 988 , 2016-11-22

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Serial_procedures
串口程序，实现串口发送，接受文件，用户只有少做修改就可以为自己所有(Serial procedures, implementation serial send, receive documents, the user only a few modifications can make all their own)

2009-03-30 23:05:51下载

积分：1
Coding-for-Optical-Channels
光通信领域编码书籍，业界经典！包含信道编码、TURBO均衡、光通信信道容量等章节的内容。(Coding books in the field of optical communication, the industry classic! Includes channel coding, turbo equalization, optical communication channel capacity, and other contents of the chapters.)

2012-08-08 14:47:33下载

积分：1
InformationTheory
这本书是针对英语高级本科生和研究生的。尼林，科学，数学和计算。它希望熟悉微积分、概率论和线性代数为科学家和工程师开设一年的数学本科课程。传统的信息论课程不仅涵盖美香农丰富的理论思想，也是沟通的实际解决方案-问题。这本书更进一步带来了贝叶斯数据建模，蒙特卡罗方法、变分方法、聚类算法和神经网络网络。(Information Theory, Inference, and Learning Algorithms)

2020-06-18 02:40:02下载

积分：1
第一次作业_基于分类算法的雷达状态识别
说明：第一次作业_基于分类算法的雷达状态识别对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

2019-04-03 08:54:04下载

积分：1
ARRAY_taylor
相控阵天线综合，程序可以根据输入的阵列天线的参数，可以计算出所需天线的各单元激励信号。(Phased array antenna synthesis )

2014-12-08 20:46:20下载

积分：1
MLEsim
ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m (ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m)

2008-01-14 15:46:27下载

积分：1
12493618_EIbPLiNcTreXgYmkQDgYYXpEi
说明：利用叠加法pm谱，生成三维海浪波形的源程序，输入风级数，频率数和角度数得到该风级下的海浪波形；(Using the superposition method PM spectrum, the source program of three-dimensional wave waveform is generated, and the wave waveform under the wind level is obtained by inputting the number of wind level, frequency and angle;)

2021-02-09 17:54:32下载

积分：1
mimo_ofdm_slm
In this paper, we present a Selected Mapping (SLM) PAPR reduction technique for MIMOOFDM system with special protection of Side Information (SI). Selected Mapping (SLM) is a powerful PAPR reduction technique since it does not cause any signal distortion and simple to implement. As a special protection for the Side Information (SI) of SLM technique, we propose a SI power allocation procedure. Simulation results show that our proposed technique gives significantly better BER performance than the ordinary SLM technique for MIMO-OFDM systems. Analysis for the optimum SI power allocation is also presented.

2014-01-01 06:11:34下载

积分：1
OFDM-PTS
降低OFDM系统峰均比的PTS算法源码，经过MATLAB仿真成功(Reduce the PAPR of OFDM system PTS algorithm source, after the success of MATLAB simulation)

2009-04-08 10:11:31下载

积分：1
DSTBC
差分空时组码的代码, 编码到译码都很全.(differential space time block code)

2020-10-22 10:37:23下载

积分：1

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