convolutionalRBM.m-master

  深度学习方法中的卷积受限玻尔兹曼机的必备学习源，有助于了解方法原理。(Convolution restricted boltzmann machine in deep learning approach, a necessary source of learning, helps to understand the method principle)

convolutionalRBM.m-master
.........................\.gitignore,105,2013-07-31
.........................\compWhitMatrix.m,372,2013-07-31
.........................\conve.m,556,2013-07-31
.........................\convs.m,559,2013-07-31
.........................\convs4.m,544,2013-07-31
.........................\getparams.m,779,2013-07-31
.........................\make.m,1792,2013-07-31
.........................\mex
.........................\...\convemex.c,1865,2013-07-31
.........................\...\conve_cuda.cu,4372,2013-07-31
.........................\...\convs4mex.c,1863,2013-07-31
.........................\...\convs4_cuda.cu,5913,2013-07-31
.........................\...\convsmex.c,1876,2013-07-31
.........................\...\convs_cuda.cu,5094,2013-07-31
.........................\...\include
.........................\...\.......\settings.h,60,2013-07-31
.........................\...\.......\utils.cuh,75,2013-07-31
.........................\...\poolHmex.c,5009,2013-07-31
.........................\...\poolH_cuda.cu,5957,2013-07-31
.........................\nvmex.m,10175,2013-07-31
.........................\nvmex.pl,105660,2013-07-31
.........................\nvmexopts.bat,3370,2013-07-31
.........................\nvmex_helper.m,8678,2013-07-31
.........................\poolHidden.m,935,2013-07-31
.........................\README.md,2738,2013-07-31
.........................\rename_to_nvmexopts.bat,3262,2013-07-31
.........................\sigmoid.m,49,2013-07-31
.........................\trainCRBM.m,10220,2013-07-31
.........................\whiten.m,1576,2013-07-31
.........................\whiten_data.m,868,2013-07-31