First proposed deep learning algorithm hinton automatic encoder matlab code that reads: multilayer rbm automatic encoding multi-features of the training, and then use the gradient algorithm fine turn. Feature extraction can be classified. With compression bag has been training with the signature image data. Note You can view the corresponding algorithm was published in 2006 in hinton science articles

code
....\backprop.m
....\backpropclassify.m
....\backup ZIP
....\..........\Autoencoder_Code.tar
....\..........\minimize.m
....\..........\t10k-images-idx3-ubyte.gz
....\..........\t10k-labels-idx1-ubyte.gz
....\..........\train-images-idx3-ubyte.gz
....\..........\train-labels-idx1-ubyte.gz
....\CG_CLASSIFY.m
....\CG_CLASSIFY_INIT.m
....\CG_MNIST.m
....\converter.m
....\makebatches.m
....\minimize.m
....\mnistclassify.m
....\mnistdeepauto.m
....\mnistdisp.m
....\rbm.m
....\rbmhidlinear.m
....\README.txt
....\t10k-images.idx3-ubyte
....\t10k-labels.idx1-ubyte
....\train-images.idx3-ubyte
....\train-labels.idx1-ubyte

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