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【达摩老生出品,必属精品,亲测校正,质量保证】 资源名:端至端卷积神经网络的文字识别_kmeans无监督特征学习_卷积神经网络(CNN)_matlab 资源类型:matlab项目全套源码 源码说明: 全部项目源码都是经过测试校正后百分百成功运行的,如果您下载后不能运行可联系我进行指导或者更换。 适合人群:新手及有一定经验的开发人员
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端至端卷积神经网络的文字识别_kmeans无监督特征学习_卷积神经网络(CNN)_matlab (887个子文件)
mcholC.c 4KB
repmatC.c 4KB
lbfgsC.c 2KB
mexutil.c 1KB
repmatC.dll 8KB
mexutil.h 317B
sampleImage.jpg 98KB
filters1.jpg 37KB
minFunc.m 43KB
getFScore.m 14KB
WolfeLineSearch.m 11KB
beam_search_step.m 10KB
e2e_visualize.m 8KB
bconv.m 6KB
wordRecog.m 6KB
backPropCStack.m 5KB
fconv.m 5KB
getSVTStruct.m 5KB
polyinterp.m 4KB
prepData.m 4KB
bpool.m 4KB
feedForwardCStack.m 4KB
minFunc_processInputOptions.m 4KB
convnet_wrapper_svm_fix1stlayer.m 3KB
fpool.m 3KB
getIcdarTestStruct.m 3KB
getIcdarTrainStruct.m 3KB
ArmijoBacktrack.m 3KB
stack2params.m 3KB
bsxfunwrap.m 3KB
fullImageForwardPropHelper.m 3KB
findLinesFull.m 3KB
checkStackCode.m 2KB
params2cstack.m 2KB
trainDetectorCNN.m 2KB
params2stack.m 2KB
example_minFunc.m 2KB
cstack2params.m 2KB
backPropStackR.m 2KB
runDetectorFull.m 2KB
stack2netconfig.m 2KB
getMatchScore.m 2KB
svmConvLoss.m 2KB
cstack2netconfig.m 2KB
computeOutputSize.m 2KB
parseXML.m 2KB
getRecogScores_convnet.m 2KB
feedForwardStackR.m 2KB
display_network.m 2KB
conjGrad.m 2KB
score2Word.m 2KB
svmConvPredict.m 2KB
train_detector.m 2KB
example_minFunc_LR.m 2KB
create_icdar_data.m 1KB
e2e_demo.m 1KB
kmeansDemo.m 1KB
score2WordBounds.m 1KB
createFeatures.m 1KB
mchol.m 1KB
create_detector_data.m 1KB
run_projection_kmeans.m 1KB
l2svmLoss.m 1KB
rosenbrock.m 1KB
firstLayerFeaturesHelper.m 1KB
cstackToFilterStack.m 1012B
nmsBBoxes.m 1001B
dampedUpdate.m 995B
lbfgs.m 924B
triangleRect.m 911B
triangleRect.m 911B
extractFeatures.m 909B
autoHess.m 901B
autoTensor.m 870B
svmConvSetup.m 829B
loadDataPreprocess.m 822B
autoGrad.m 819B
fullImageForwardProp.m 760B
filterScores.m 755B
taylorModel.m 677B
runDetectorDemo.m 673B
LogisticLoss.m 659B
loadRecognitionModel.m 645B
findBoxesFull.m 631B
getImgNames.m 630B
lbfgsUpdate.m 614B
computeResponses.m 594B
triangleRectGrad.m 579B
visualizeBoxes.m 573B
train_classifier.m 569B
mcholinc.m 564B
firstLayerFeatures.m 541B
maxpoolg.m 506B
LogisticDiagPrecond.m 417B
meanpoolg.m 401B
normalizeAndZCA.m 401B
callOutput.m 385B
ascii2label.m 379B
nmsLineResponse.m 351B
wtnms.m 347B
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