文件名称：公用事业
文件大小：25.1MB
文件格式：ZIP
更新时间：2024-02-28 17:50:04
JupyterNotebook
rmsprop_opt = RMSprop（lr = 0.0001，rho = 0.8，epsilon =无，衰减= 0.0）sgd_opt = SGD（lr = 0.0001，动量= 0.9，衰减= 0.0，nesterov = False）来自keras.optimizers导入Adam，RMSprop，SGD 找不到tensorflow gpu DLL pip安装--upgrade tensorflow-gpu == 1.4
【文件预览】：
utilities-master
----ISBI2019_Grid_Search_DenseNet121_3H_RMSProp.ipynb(17KB)
----01-Done!-Working.NPY-VGG16-MobileNet-Concatenate-ImageNetMean-91.72%.ipynb(394KB)
----17.ResNet_Attention_56.ipynb(39KB)
----4-1.SegNet2-withPreprocessing.ipynb(13KB)
----CenterCrop_equal_size.ipynb(441KB)
----9.Bar_Plots_hatch_color_list_bottom_legend.ipynb(30KB)
----CenterCrop_unequal_size.ipynb(17KB)
----get-cudnn-cuda-gpu-version.ipynb(8KB)
----Visualize_Predicted_Mask.ipynb(12.84MB)
----8.Saliency-Map.ipynb(616KB)
----Augmentation-Transform.ipynb(57KB)
----rename_files.ipynb(1KB)
----0.Combined-Classification-Skin.ipynb(14KB)
----001.Patch-Extractor.ipynb(33KB)
----05.Bioimaging_ML.ipynb(28KB)
----03.Done-SeparableConv2D-128-55%.ipynb(256KB)
----utils.py(12KB)
----Esophageal_Cancer_VGG19_InceptionV3_99.10%.ipynb(305KB)
----10.Bottleneck-Features-Pooling-DenseNet201-512.ipynb(248KB)
----Digestpath_Classification_SingleCNN_Grid_Search_InceptionResNetV2_hidden1.ipynb(882KB)
----npy.py(1KB)
----Esophageal_Cancer_VGG19.ipynb(203KB)
----03.Xception_40X_binary.ipynb(15KB)
----Multiple_Run_Xception_COVID-19_SingleCNN.ipynb(2.51MB)
----Uncompressed_tiff_to_png_jpg.ipynb(2KB)
----APTOS_Multi_noAug_DenseNet121_300_300.ipynb(158KB)
---- 00.Visualize misclassified-errors images - NPY.ipynb(290KB)
----04.Paper2-ICIAR-Reinhard-NPY-Xception-Concatenate-94.ipynb(313KB)
----20.NPY-DenseNet201-Pooling.ipynb(188KB)
----14.MobileNetV2.ipynb(361KB)
----02.Binary-ROC_Curve-Bottleneck-Features-VGG19.ipynb(338KB)
----01.Resize_to_half.ipynb(2KB)
----stain_normalizer()
--------0.stain-normalizer.ipynb(9KB)
--------04.ISBI-Grid-Search-NPY-SGD.ipynb(127KB)
--------04.ISBI-Grid-Search-NPY-RMSProp.ipynb(183KB)
--------stain_utils.py(4KB)
--------04.ISBI-Grid-Search-NPY-Adam.ipynb(201KB)
----rename_files3.ipynb(953B)
----3-1.SegNet-withPreprocessing.ipynb(10KB)
----02.ICIAR-3path-CNN-Done!.ipynb(499KB)
----Digestpath_Classification_InceptionResNetV2_94.12.ipynb(176KB)
----02.Done.descriptor_to_npy.ipynb(20KB)
----03.data-augmentation_updated.ipynb(11KB)
----13.Adam1-Xception-512-epoch-50.ipynb(203KB)
----01.Stain_Normalize.ipynb(10KB)
----10.Bottleneck-Features-DenseNet201-512-epoch-70.ipynb(217KB)
----README.md(376B)
----9.Bar_Plots_color_list.ipynb(17KB)
----01.classification-csv.ipynb(7KB)
----04.BottleNeck-DenseNetModified.ipynb(245KB)
----VGG16.ipynb(3KB)
----01.InceptionV3.ipynb(12KB)
----ICPR2012_Xception.ipynb(345KB)
----0.utility_codes.py(47KB)
----transforms.py(18KB)
----9.Bar_Plots_color_list_bottom_legend.ipynb(26KB)
----0.LinkNet_InceptionV3.ipynb(122KB)
----02-Done!-Working.NPY-VGG16-MobileNet-Concatenate-Adam-96.17%.ipynb(308KB)
----02.MultiClass-ROC-Curve-DenseNet121.ipynb(346KB)
----move-files.ipynb(2KB)
----VGG16.py(2KB)
----Plot_missclassified.ipynb(13.3MB)
----04.Done-SeparableConv2D-512-57%.ipynb(278KB)
----Percentages of files-EDA.ipynb(12KB)