文件名称:Sparse-Autoencoder
- 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：
- 2015-09-28
- 文件大小：
- 11.28mb
- 下载次数：
- 0次
- 提 供 者：
- 单**
- 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！
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稀疏自编码是构成堆栈式自编码的基础，通过稀疏自编码可以提取图像的边缘特征。-Sparse coding constitute the basis of the stack self-encoded by sparse coding can be extracted the edge feature of the image.
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下载文件列表
Sparse Autoencoder
..................\cs294a_2011-assignment.pdf
..................\sparseAutoencoder_2011new.pdf
..................\starter
..................\.......\IMAGES.mat
..................\.......\checkNumericalGradient.m
..................\.......\computeNumericalGradient.asv
..................\.......\computeNumericalGradient.m
..................\.......\display_network.m
..................\.......\initializeParameters.m
..................\.......\loadMNISTImages.m
..................\.......\loadMNISTLabels.m
..................\.......\minFunc
..................\.......\.......\ArmijoBacktrack.m
..................\.......\.......\WolfeLineSearch.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
..................\.......\sampleIMAGES.asv
..................\.......\sampleIMAGES.m
..................\.......\sparseAutoencoderCost.asv
..................\.......\sparseAutoencoderCost.m
..................\.......\train.asv
..................\.......\train.m