文件名称:sparseae_exercise
介绍说明--下载内容均来自于网络,请自行研究使用
该文档包含了深度学习的典型模型稀疏自编码的程序和代码-this document contain sparseae exercise of deep learning network
(系统自动生成,下载前可以参看下载内容)
下载文件列表
sparseae_exercise\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
.................\.......\.......\.ogistic\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
.................\.......\octave-core
.................\.......\sampleIMAGES.m
.................\.......\sigmoid.m
.................\.......\sparseAutoencoderCost.m
.................\.......\train.m
.................\.......\weights.jpg
.................\.......\minFunc\logistic
.................\.......\minFunc
.................\starter
sparseae_exercise