CNN-pooling-strategy
所属分类：模式识别(视觉/语音等)
开发工具：matlab
文件大小：28846KB
下载次数：64
上传日期：2017-03-01 16:59:54
上 传 者：
5457085
说明： 基于卷积层和池化层的卷积深度网络被执行，该框架可以有效地识别灰度图像，彩色图像和高光谱图像。
( Convolution deep network based on convolution layer and pooling layer is performed, the framework can effectively identify grayscale images, color images and hyperspectral images.)
文件列表:
CNN\cnnapplygrads.asv (931, 2014-04-01)
CNN\cnnapplygrads.m (988, 2014-04-01)
CNN\cnnbp - 副本.m (2515, 2014-03-31)
CNN\cnnbp.asv (4042, 2014-04-01)
CNN\cnnbp.m (4161, 2014-04-01)
CNN\cnnff.asv (3915, 2014-04-01)
CNN\cnnff.m (5526, 2014-04-01)
CNN\cnnnumgradcheck.m (3763, 2014-04-01)
CNN\cnnsetup.m (3255, 2014-04-01)
CNN\cnntest.m (226, 2014-04-01)
CNN\cnntrain.m (1272, 2014-04-01)
CNN\MaxPooling.cpp (8857, 2014-04-01)
CNN\MaxPooling.cpp.bak (8899, 2011-07-18)
CNN\MaxPooling.m (404, 2011-07-18)
CNN\MaxPooling.mexw32 (11264, 2014-03-27)
CNN\MaxPooling.mexw64 (13824, 2014-04-01)
CNN\MaxPoolingGPU.cpp (9034, 2014-04-01)
CNN\MaxPoolingGPU.cpp.bak (8929, 2014-04-01)
CNN\StochasticPooling.cpp (9782, 2014-04-01)
CNN\StochasticPooling.mexw64 (15360, 2014-04-01)
CNN\StochaticTest.m (1733, 2014-04-01)
CNN\test_example_CNN.asv (2024, 2014-04-01)
CNN\test_example_CNN.m (1996, 2014-04-01)
data\mnist_uint8.mat (14735220, 2013-08-22)
util\allcomb.m (2705, 2013-08-22)
util\expand.m (2011, 2013-08-22)
util\flicker.m (218, 2013-08-22)
util\flipall.m (84, 2013-08-22)
util\fliplrf.m (563, 2013-08-22)
util\flipudf.m (597, 2013-08-22)
util\im2patches.m (325, 2013-08-22)
util\isOctave.m (111, 2014-03-26)
util\makeLMfilters.m (1956, 2013-08-22)
util\myOctaveVersion.m (176, 2014-03-26)
util\normalize.m (101, 2013-08-22)
util\patches2im.m (252, 2013-08-22)
util\randcorr.m (290, 2013-08-22)
util\randp.m (2159, 2013-08-22)
util\rnd.m (51, 2013-08-22)
util\sigm.m (50, 2013-10-23)
... ...
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