GitHub - imclab/deep-learning-scene-recognition: Using convolutional deep belief nets to learn natural scene representations

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.svn		.svn
hcontextcode		hcontextcode
math		math
python-deepnets		python-deepnets
svm_multiclass		svm_multiclass
SVMdata.m		SVMdata.m
arrayToDims.m		arrayToDims.m
batch_RBM_update.m		batch_RBM_update.m
batch_RBMc_update.m		batch_RBMc_update.m
c_gen_feat.m		c_gen_feat.m
c_unsuperv_offline_eval.m		c_unsuperv_offline_eval.m
cdbn_unsupervised_fit_testscript.m		cdbn_unsupervised_fit_testscript.m
convnFast.m		convnFast.m
convnfft.m		convnfft.m
convnfft_install.m		convnfft_install.m
crbm2D.m		crbm2D.m
cvis_features.m		cvis_features.m
cvis_features4D.m		cvis_features4D.m
dbnFit.m		dbnFit.m
dbnPredict.m		dbnPredict.m
dbn_unsupervised_fit.m		dbn_unsupervised_fit.m
dispims.m		dispims.m
experiment_set1.m		experiment_set1.m
experiment_set2.m		experiment_set2.m
experiments.m		experiments.m
getObjects.m		getObjects.m
getbatches.m		getbatches.m
ind2sub2.m		ind2sub2.m
inplaceprod.c		inplaceprod.c
interweave.m		interweave.m
logistic.m		logistic.m
multinomial_exp.m		multinomial_exp.m
multinomial_exp_sample.m		multinomial_exp_sample.m
myrepmat.m		myrepmat.m
mysub2ind2D.m		mysub2ind2D.m
mysub2ind3D.m		mysub2ind3D.m
normalize.m		normalize.m
notes.txt		notes.txt
nunique.m		nunique.m
prepareArgs.m		prepareArgs.m
process_options.m		process_options.m
processdata.py		processdata.py
rbm.m		rbm.m
rbmBB.m		rbmBB.m
rbmFit.m		rbmFit.m
rbmHtoV.m		rbmHtoV.m
rbmPredict.m		rbmPredict.m
rbmVtoH.m		rbmVtoH.m
rbm_fit.m		rbm_fit.m
read_outdoor_scene.m		read_outdoor_scene.m
replicate_pool.m		replicate_pool.m
scene_exp1_CDBN.m		scene_exp1_CDBN.m
scene_exp2_CDBN.m		scene_exp2_CDBN.m
scene_exp4_CDBN.m		scene_exp4_CDBN.m
scene_exp_1.m		scene_exp_1.m
scene_exp_2.m		scene_exp_2.m
scene_exp_3.m		scene_exp_3.m
scene_exp_4.m		scene_exp_4.m
softmaxPmtk.m		softmaxPmtk.m
softmax_sample.m		softmax_sample.m
unit_test_batches_data.m		unit_test_batches_data.m
unsuperv_offline_eval.m		unsuperv_offline_eval.m
vis_features.m		vis_features.m
visualize.m		visualize.m