Sparse-Autoencoders-for-Denoising

Matlab files for sparse autoencoders used for denoising application- based off CS294a ufldl course offered by stanford online

Name		Name	Last commit message	Last commit date
Latest commit History 86 Commits
DeepLearnToolbox-master		DeepLearnToolbox-master
SGD_Files		SGD_Files
minFunc		minFunc
run1		run1
savefig		savefig
.gitignore		.gitignore
Img_net_ds_create.m		Img_net_ds_create.m
NLextract.m		NLextract.m
README.md		README.md
add_noise.m		add_noise.m
block_mean.m		block_mean.m
checkNumericalGradient.m		checkNumericalGradient.m
computeNumericalGradient.m		computeNumericalGradient.m
create_search_dict.m		create_search_dict.m
create_weighted_patch.m		create_weighted_patch.m
create_weighted_patch_2.m		create_weighted_patch_2.m
crossValidate.m		crossValidate.m
display_network.m		display_network.m
feedForwardAutoencoder.m		feedForwardAutoencoder.m
feedForwardAutoencoder_tied.m		feedForwardAutoencoder_tied.m
fmincg.m		fmincg.m
img_recons.m		img_recons.m
initializeParameters.m		initializeParameters.m
initializeParameters_tied.m		initializeParameters_tied.m
meanSq.m		meanSq.m
modify_patch.m		modify_patch.m
modify_patch_vs2.m		modify_patch_vs2.m
normalizeData.m		normalizeData.m
normalizeData_t.m		normalizeData_t.m
patch_reconst.m		patch_reconst.m
readIm.m		readIm.m
sampleIMAGES.asv		sampleIMAGES.asv
sampleIMAGES.m		sampleIMAGES.m
sgd.m		sgd.m
sparseAutoencoderCost.m		sparseAutoencoderCost.m
sparseAutoencoderCost_tied.m		sparseAutoencoderCost_tied.m
test_patch_create.m		test_patch_create.m
test_script_vs2.m		test_script_vs2.m
testing_stage_exp1.m		testing_stage_exp1.m
testing_stage_exp2.m		testing_stage_exp2.m
train.m		train.m

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