from tensorflow.keras.applications.[file] import *
[file]:
'densenet',
'efficientnet',
'imagenet_utils',
'inception_resnet_v2',
'inception_v3',
'mobilenet',
'mobilenet_v2',
'nasnet',
'resnet',
'resnet50',
'resnet_v2',
'vgg16',
'vgg19',
'xception'
model = [MODEL](weights='imagenet')
[MODEL]:
'DenseNet121',
'DenseNet169',
'DenseNet201',
'EfficientNetB0',
'EfficientNetB1',
'EfficientNetB2',
'EfficientNetB3',
'EfficientNetB4',
'EfficientNetB5',
'EfficientNetB6',
'EfficientNetB7',
'InceptionResNetV2',
'InceptionV3',
'MobileNet',
'MobileNetV2',
'NASNetLarge',
'NASNetMobile',
'ResNet101',
'ResNet101V2',
'ResNet152',
'ResNet152V2',
'ResNet50',
'ResNet50V2',
'VGG16',
'VGG19',
'Xception'
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Using Keras models for image classification.
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