文件名称:starter
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2016-04-04
- 文件大小:
- 11.43mb
- 下载次数:
- 0次
- 提 供 者:
- 喻**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
基于深度学习的稀疏自编码器,对图像特征进行提取,然后分类-Extraction the encoder based on sparse feature depth study
(系统自动生成,下载前可以参看下载内容)
下载文件列表
cs294a_2011-assignment.pdf
sparseAutoencoder_2011new.pdf
starter
.......\checkNumericalGradient.m
.......\computeNumericalGradient.m
.......\display_network.m
.......\IMAGES.mat
.......\initializeParameters.m
.......\minFunc
.......\.......\ArmijoBacktrack.m
.......\.......\autoGrad.m
.......\.......\autoHess.m
.......\.......\autoHv.m
.......\.......\autoTensor.m
.......\.......\callOutput.m
.......\.......\conjGrad.m
.......\.......\dampedUpdate.m
.......\.......\example_minFunc.m
.......\.......\example_minFunc_LR.m
.......\.......\isLegal.m
.......\.......\lbfgs.m
.......\.......\lbfgsC.c
.......\.......\lbfgsC.mexa64
.......\.......\lbfgsC.mexglx
.......\.......\lbfgsC.mexmac
.......\.......\lbfgsC.mexmaci
.......\.......\lbfgsC.mexmaci64
.......\.......\lbfgsC.mexw32
.......\.......\lbfgsC.mexw64
.......\.......\lbfgsUpdate.m
.......\.......\logistic
.......\.......\........\LogisticDiagPrecond.m
.......\.......\........\LogisticHv.m
.......\.......\........\LogisticLoss.m
.......\.......\........\mexutil.c
.......\.......\........\mexutil.h
.......\.......\........\mylogsumexp.m
.......\.......\........\repmatC.c
.......\.......\........\repmatC.dll
.......\.......\........\repmatC.mexglx
.......\.......\........\repmatC.mexmac
.......\.......\mchol.m
.......\.......\mcholC.c
.......\.......\mcholC.mexmaci64
.......\.......\mcholC.mexw32
.......\.......\mcholC.mexw64
.......\.......\mcholinc.m
.......\.......\minFunc.m
.......\.......\minFunc_processInputOptions.m
.......\.......\polyinterp.m
.......\.......\precondDiag.m
.......\.......\precondTriu.m
.......\.......\precondTriuDiag.m
.......\.......\rosenbrock.m
.......\.......\taylorModel.m
.......\.......\WolfeLineSearch.m
.......\sampleIMAGES.m
.......\sigmoidInv.m
.......\sparseAutoencoderCost.m
.......\train.m
.......\weights.jpg