One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process

Filename	Size	Update
Autoencoder_Code	0	2013-12-19
Autoencoder_Code\CG_CLASSIFY.m	1853	2013-12-19
Autoencoder_Code\CG_CLASSIFY_INIT.m	1136	2013-12-19
Autoencoder_Code\CG_MNIST.m	2727	2013-12-19
Autoencoder_Code\README.txt	2934	2013-12-19
Autoencoder_Code\backprop.m	5594	2013-12-19
Autoencoder_Code\backpropclassify.m	5474	2013-12-19
Autoencoder_Code\converter.m	3011	2013-12-19
Autoencoder_Code\makebatches.m	4169	2013-12-19
Autoencoder_Code\minimize.m	8995	2013-12-19
Autoencoder_Code\mnistdeepauto.m	2199	2013-12-19
Autoencoder_Code\mnistdisp.m	1084	2013-12-19
Autoencoder_Code\rbm.m	3916	2013-12-19
Autoencoder_Code\rbmhidlinear.m	3964	2013-12-19
Autoencoder_Code\t10k-images.idx3-ubyte	7840016	2013-12-19
Autoencoder_Code\t10k-labels.idx1-ubyte	10008	2013-12-19
Autoencoder_Code\train-images.idx3-ubyte	47040016	2013-12-19
Autoencoder_Code\train-labels.idx1-ubyte	60008	2013-12-19

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