| path: "tensorflow.keras.applications" |
| tf_module { |
| member { |
| name: "densenet" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "efficientnet" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "imagenet_utils" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "inception_resnet_v2" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "inception_v3" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "mobilenet" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "mobilenet_v2" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "nasnet" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "resnet" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "resnet50" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "resnet_v2" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "vgg16" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "vgg19" |
| mtype: "<type \'module\'>" |
| } |
| member { |
| name: "xception" |
| mtype: "<type \'module\'>" |
| } |
| member_method { |
| name: "DenseNet121" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "DenseNet169" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "DenseNet201" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "EfficientNetB0" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB1" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB2" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB3" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB4" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB5" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB6" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "EfficientNetB7" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "InceptionResNetV2" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "InceptionV3" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "MobileNet" |
| argspec: "args=[\'input_shape\', \'alpha\', \'depth_multiplier\', \'dropout\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'1.0\', \'1\', \'0.001\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "MobileNetV2" |
| argspec: "args=[\'input_shape\', \'alpha\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'1.0\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "NASNetLarge" |
| argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "NASNetMobile" |
| argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "ResNet101" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "ResNet101V2" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "ResNet152" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "ResNet152V2" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "ResNet50" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " |
| } |
| member_method { |
| name: "ResNet50V2" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "VGG16" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "VGG19" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| member_method { |
| name: "Xception" |
| argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " |
| } |
| } |