DNN program, you can use MATLAB to achieve a deep neural network. Include subroutine

deepmat-master
deepmat-master\candidate_lrates.m
deepmat-master\candidate_moments.m
deepmat-master\convnet.m
deepmat-master\convnet_avgpool.m
deepmat-master\convnet_classify.m
deepmat-master\convnet_maxpool.m
deepmat-master\dae.m
deepmat-master\dae_get_hidden.m
deepmat-master\dbm.m
deepmat-master\dbm_energy.m
deepmat-master\dbm_entropy.m
deepmat-master\dbm_get_hidden.m
deepmat-master\dbm_get_hidden_raw.m
deepmat-master\dbm_sample.m
deepmat-master\dbn.m
deepmat-master\dbn_sample.m
deepmat-master\default_convnet.m
deepmat-master\default_dae.m
deepmat-master\default_dbm.m
deepmat-master\default_dbn.m
deepmat-master\default_gsn.m
deepmat-master\default_mlp.m
deepmat-master\default_rbm.m
deepmat-master\default_sdae.m
deepmat-master\dsigmoid.m
deepmat-master\example
deepmat-master\example\bsds500bw_patches_8.mat
deepmat-master\example\dae_mnist_1.mat
deepmat-master\example\dae_mnist_2.mat
deepmat-master\example\dbm_mnist.mat
deepmat-master\example\dbn_mnist.mat
deepmat-master\example\dbn_samples.mat
deepmat-master\example\example_cifar10_convnet.m
deepmat-master\example\example_faces.m
deepmat-master\example\example_mnist.m
deepmat-master\example\example_mnist_convnet.m
deepmat-master\example\example_mnist_dae.m
deepmat-master\example\example_mnist_dbm.m
deepmat-master\example\example_mnist_dbn.m
deepmat-master\example\example_mnist_gsn.m
deepmat-master\example\example_mnist_mlp.m
deepmat-master\example\example_mnist_mlp_rbm.m
deepmat-master\example\example_mnist_sdae.m
deepmat-master\example\example_mnist_sdae_rbm.m
deepmat-master\example\example_patches_dae.m
deepmat-master\example\example_patches_dbm.m
deepmat-master\example\example_patches_rica.m
deepmat-master\example\faces.train.mat
deepmat-master\example\list.txt
deepmat-master\example\mlp1.m
deepmat-master\example\mlp_mnist.mat
deepmat-master\example\mlp_rbm_mnist_1.mat
deepmat-master\example\mlp_rbm_mnist_2.mat
deepmat-master\example\mnist.m
deepmat-master\example\mnist_14x14.mat
deepmat-master\example\mnist_all_bw.mat
deepmat-master\example\patch8_whiten.mat
deepmat-master\example\rbm_1.mat
deepmat-master\example\rbm_2.mat
deepmat-master\example\rbm_3.mat
deepmat-master\example\vis_mnist.m
deepmat-master\example\vis_mnist_rbm.m
deepmat-master\gpl-2.0.txt
deepmat-master\grbm_energy.m
deepmat-master\grbm_pt.m
deepmat-master\grbm_sample.m
deepmat-master\gsn.m
deepmat-master\gsn_sample.m
deepmat-master\logdiff.m
deepmat-master\logsum.m
deepmat-master\MaxPooling.cpp
deepmat-master\MaxPooling.mexa64
deepmat-master\mlp.m
deepmat-master\mlp_classify.m
deepmat-master\mlp_dbm.m
deepmat-master\mlp_mnist.mat
deepmat-master\mlp_rbm_mnist_1.mat
deepmat-master\padimages.m
deepmat-master\print_n_updates.m
deepmat-master\rbm.m
deepmat-master\rbm_ais.m
deepmat-master\rbm_energy.m
deepmat-master\rbm_get_hidden.m
deepmat-master\rbm_get_visible.m
deepmat-master\rbm_pt.m
deepmat-master\rbm_sample.m
deepmat-master\README.md
deepmat-master\save_intermediate.m
deepmat-master\sdae.m
deepmat-master\sdae_get_hidden.m
deepmat-master\sdae_get_visible.m
deepmat-master\set_dbm_centers.m
deepmat-master\set_mlp_dbm.m
deepmat-master\sigmoid.m
deepmat-master\softmax.m
deepmat-master\TODO.txt
deepmat-master\train_rbm.m
deepmat-master\visualize.m
deepmat-master\visualize_adv.m

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