登录
首页 » matlab » DeepLearnToolbox-master

DeepLearnToolbox-master

于 2020-06-19 发布 文件大小:28871KB
0 67
下载积分: 1 下载次数: 2

代码说明:

  CNN,DBN算法可以对手写体数字进行识别,准确率高(CNN and DBN algorithm can recognize handwritten numerals with high accuracy)

文件列表:

DeepLearnToolbox-master, 0 , 2014-01-12
DeepLearnToolbox-master\.travis.yml, 249 , 2014-01-12
DeepLearnToolbox-master\CAE, 0 , 2014-01-12
DeepLearnToolbox-master\CAE\caeapplygrads.m, 1219 , 2014-01-12
DeepLearnToolbox-master\CAE\caebbp.m, 917 , 2014-01-12
DeepLearnToolbox-master\CAE\caebp.m, 1011 , 2014-01-12
DeepLearnToolbox-master\CAE\caedown.m, 259 , 2014-01-12
DeepLearnToolbox-master\CAE\caeexamples.m, 754 , 2014-01-12
DeepLearnToolbox-master\CAE\caenumgradcheck.m, 3618 , 2014-01-12
DeepLearnToolbox-master\CAE\caesdlm.m, 845 , 2014-01-12
DeepLearnToolbox-master\CAE\caetrain.m, 1148 , 2014-01-12
DeepLearnToolbox-master\CAE\caeup.m, 489 , 2014-01-12
DeepLearnToolbox-master\CAE\max3d.m, 173 , 2014-01-12
DeepLearnToolbox-master\CAE\scaesetup.m, 1937 , 2014-01-12
DeepLearnToolbox-master\CAE\scaetrain.m, 270 , 2014-01-12
DeepLearnToolbox-master\CNN, 0 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnapplygrads.m, 575 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnbp.m, 2141 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnff.m, 1774 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m, 3430 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnsetup.m, 2020 , 2014-01-12
DeepLearnToolbox-master\CNN\cnntest.m, 193 , 2014-01-12
DeepLearnToolbox-master\CNN\cnntrain.m, 845 , 2014-01-12
DeepLearnToolbox-master\CONTRIBUTING.md, 544 , 2014-01-12
DeepLearnToolbox-master\create_readme.sh, 744 , 2014-01-12
DeepLearnToolbox-master\data, 0 , 2014-01-12
DeepLearnToolbox-master\data\mnist_uint8.mat, 14735220 , 2014-01-12
DeepLearnToolbox-master\DBN, 0 , 2019-08-01
DeepLearnToolbox-master\DBN\allcomb.m, 2618 , 2014-01-12
DeepLearnToolbox-master\DBN\dbnsetup.m, 557 , 2014-01-12
DeepLearnToolbox-master\DBN\dbntrain.m, 232 , 2014-01-12
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m, 425 , 2014-01-12
DeepLearnToolbox-master\DBN\expand.m, 1958 , 2014-01-12
DeepLearnToolbox-master\DBN\flicker.m, 208 , 2014-01-12
DeepLearnToolbox-master\DBN\flipall.m, 80 , 2014-01-12
DeepLearnToolbox-master\DBN\fliplrf.m, 543 , 2014-01-12
DeepLearnToolbox-master\DBN\flipudf.m, 576 , 2014-01-12
DeepLearnToolbox-master\DBN\guzhangNumber.xls, 406528 , 2019-06-03
DeepLearnToolbox-master\DBN\im2patches.m, 313 , 2014-01-12
DeepLearnToolbox-master\DBN\isOctave.m, 108 , 2014-01-12
DeepLearnToolbox-master\DBN\makeLMfilters.m, 1895 , 2014-01-12
DeepLearnToolbox-master\DBN\mnist_uint8.mat, 14735220 , 2014-01-12
DeepLearnToolbox-master\DBN\myOctaveVersion.m, 169 , 2014-01-12
DeepLearnToolbox-master\DBN\nnapplygrads.m, 628 , 2014-01-12
DeepLearnToolbox-master\DBN\nnbp.m, 1638 , 2014-01-12
DeepLearnToolbox-master\DBN\nnchecknumgrad.m, 704 , 2014-01-12
DeepLearnToolbox-master\DBN\nneval.m, 772 , 2014-01-12
DeepLearnToolbox-master\DBN\nnff.m, 1849 , 2014-01-12
DeepLearnToolbox-master\DBN\nnpredict.m, 188 , 2014-01-12
DeepLearnToolbox-master\DBN\nnsetup.m, 1844 , 2014-01-12
DeepLearnToolbox-master\DBN\nntest.m, 180 , 2014-01-12
DeepLearnToolbox-master\DBN\nntrain.m, 2414 , 2014-01-12
DeepLearnToolbox-master\DBN\nnupdatefigures.m, 1858 , 2014-01-12
DeepLearnToolbox-master\DBN\normalize.m, 97 , 2014-01-12
DeepLearnToolbox-master\DBN\patches2im.m, 242 , 2014-01-12
DeepLearnToolbox-master\DBN\randcorr.m, 283 , 2014-01-12
DeepLearnToolbox-master\DBN\randp.m, 2083 , 2014-01-12
DeepLearnToolbox-master\DBN\rbmdown.m, 90 , 2014-01-12
DeepLearnToolbox-master\DBN\rbmtrain.m, 1401 , 2014-01-12
DeepLearnToolbox-master\DBN\rbmup.m, 89 , 2014-01-12
DeepLearnToolbox-master\DBN\rnd.m, 49 , 2014-01-12
DeepLearnToolbox-master\DBN\sigm.m, 48 , 2014-01-12
DeepLearnToolbox-master\DBN\sigmrnd.m, 126 , 2014-01-12
DeepLearnToolbox-master\DBN\softmax.m, 256 , 2014-01-12
DeepLearnToolbox-master\DBN\tanh_opt.m, 54 , 2014-01-12
DeepLearnToolbox-master\DBN\visualize.m, 1072 , 2014-01-12
DeepLearnToolbox-master\DBN\whiten.m, 183 , 2014-01-12
DeepLearnToolbox-master\DBN\zscore.m, 137 , 2014-01-12
DeepLearnToolbox-master\LICENSE, 1313 , 2014-01-12
DeepLearnToolbox-master\NN, 0 , 2014-01-12
DeepLearnToolbox-master\NN\nnapplygrads.m, 628 , 2014-01-12
DeepLearnToolbox-master\NN\nnbp.m, 1638 , 2014-01-12
DeepLearnToolbox-master\NN\nnchecknumgrad.m, 704 , 2014-01-12
DeepLearnToolbox-master\NN\nneval.m, 772 , 2014-01-12
DeepLearnToolbox-master\NN\nnff.m, 1849 , 2014-01-12
DeepLearnToolbox-master\NN\nnpredict.m, 188 , 2014-01-12
DeepLearnToolbox-master\NN\nnsetup.m, 1844 , 2014-01-12
DeepLearnToolbox-master\NN\nntest.m, 180 , 2014-01-12
DeepLearnToolbox-master\NN\nntrain.m, 2414 , 2014-01-12
DeepLearnToolbox-master\NN\nnupdatefigures.m, 1858 , 2014-01-12
DeepLearnToolbox-master\README.md, 8730 , 2014-01-12
DeepLearnToolbox-master\README_header.md, 2256 , 2014-01-12
DeepLearnToolbox-master\REFS.md, 950 , 2014-01-12
DeepLearnToolbox-master\SAE, 0 , 2014-01-12
DeepLearnToolbox-master\SAE\saesetup.m, 132 , 2014-01-12
DeepLearnToolbox-master\SAE\saetrain.m, 308 , 2014-01-12
DeepLearnToolbox-master\tests, 0 , 2014-01-12
DeepLearnToolbox-master\tests\runalltests.m, 165 , 2014-01-12
DeepLearnToolbox-master\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2014-01-12
DeepLearnToolbox-master\tests\test_example_CNN.m, 981 , 2014-01-12
DeepLearnToolbox-master\tests\test_example_DBN.m, 1644 , 2019-08-01
DeepLearnToolbox-master\tests\test_example_NN.m, 3247 , 2014-01-12
DeepLearnToolbox-master\tests\test_example_SAE.m, 934 , 2014-01-12
DeepLearnToolbox-master\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2014-01-12
DeepLearnToolbox-master\util, 0 , 2014-01-12
DeepLearnToolbox-master\util\allcomb.m, 2618 , 2014-01-12
DeepLearnToolbox-master\util\expand.m, 1958 , 2014-01-12
DeepLearnToolbox-master\util\flicker.m, 208 , 2014-01-12
DeepLearnToolbox-master\util\flipall.m, 80 , 2014-01-12
DeepLearnToolbox-master\util\fliplrf.m, 543 , 2014-01-12

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • wavelet_edge2
    利用wavelet transform及wavelet modulus maximum來求出改良过的邊緣檢測,得到最佳的輪廓(The use of wavelet transform and the wavelet modulus maximum to derive a modified edge detection, the best contour)
    2009-11-09 15:26:48下载
    积分:1
  • DSP5
    1.窗口法设计FIR数字滤波器。 2.以Butterworth 模拟低通滤波器为原型,设计IIR数字滤波器。(1. Window Design of FIR digital filter. 2. In order Butterworth analog low-pass filter for the prototype, design IIR digital filter.)
    2010-03-11 21:45:35下载
    积分:1
  • Matlab-GUI-Imagefilter
    matlab编写的图像处理的gui界面,实现图像处理中的一些简单算法(gui interface of image processing written by matlab)
    2021-03-26 16:49:13下载
    积分:1
  • estimation
    电力系统加权最小二乘法状态估计14节点或33节点都能运行(Weighted least square method for power system state estimation of 14 nodes or 33 nodes can run)
    2021-04-17 13:28:52下载
    积分:1
  • OQPSKfading
    matlab Simulation program to realize OQPSK transmission system
    2010-10-18 17:19:00下载
    积分:1
  • stock-market-opening-price-forecast
    神经网络上证股票开盘预测matlab程序 含有所需股票数据(The Shanghai stock market opening price forecast)
    2015-04-20 15:36:52下载
    积分:1
  • 复杂网络中基本网络模型的matlab实现
    复杂网络的matlab实现,得到不同规模的BA无标度网络、WS小世界网络、随机网络、规则网络的拓扑图。还有各类型的拓扑度分布、聚集系数、平均最短路径等静态特性的实现。(Matlab implementation of complex networks, BA scale networks of different sizes, WS small world networks, random networks and regular networks are obtained. There are various types of topological degree distribution, aggregation coefficient, average shortest path and other static characteristics.)
    2020-11-18 19:59:39下载
    积分:1
  • tianxian
    本手册是根据国内最著名的天线专家、教授的最新研究与工程设计成果并汇集了国际上的最新资料精心编撰而成的宏篇巨著,是目前国内第一本全面论述天线工程最系统、最完整的工具书。全书共分四篇29章。第一篇为天线基础,介绍了天线的基本参数、基本原理、基本理论和基本分析方法,为读者阅读后续各章 打下坚实基础;第二篇为天线设计,是全书的核心,介绍各类天线的工作原理和设计方法,可供使用的设计公式、图表和具体数据;第三篇概述天线在通信、雷达、导航、遥测、测向等军民方面的应用,还介绍了特殊用途的天线,如载体天线、圆极化天线、毫米波天线等;第四篇介绍了与天线相关的论题,如天线的测量、天线散射载面、天线罩等。(This manual is based on the latest research and engineering achievements of the most famous antenna experts, professors and brings together the latest information on carefully compiled international macro magnum opus, is the first comprehensive discussion of the antenna construction most systematic complete tool. 29 book is divided into four chapters. The first is the antenna base, introduces the basic parameters of the antenna, the basic principles, basic theory and analysis methods for the following chapters the reader Lay a solid foundation The second is an antenna design is the core of the book, describes various types of antennas working principle and design methods, design formulas available, charts and specific data an overview of the third antenna in communication, radar, navigation , telemetry, military and civilian aspects of the application DF et al., also describes the antennas for special purposes, such as carrier antenna, a circularly polarized antenna, the millimet)
    2016-07-22 10:17:24下载
    积分:1
  • math
    这是数学专业的数学建模的课程设计,很有用啊,希望大家踊跃下载啊(This is the mathematical modeling mathematics curriculum design, very useful, ah, ah hope you actively download)
    2011-05-03 16:44:18下载
    积分:1
  • yuyin
    语音信号的采集与处理,数字信号处理课设,可对已录制好的语音进行高中低频的滤波处理,并可现场录音处理,包含所有源代码,GUI,课设报告等。(Voice signal acquisition and processing, digital signal processing class- can be carried out on the high school has recorded the voice of low-frequency filter processing, recording and processing the scene, including all source code, GUI, class based reports.)
    2011-11-29 15:08:59下载
    积分:1
  • 696521资源总数
  • 104062会员总数
  • 29今日下载