code: def EfficientNetB3(
      include_top=True,
      weights="imagenet",
      input_tensor=None,
      input_shape=None,
      pooling=None,
      classes=1000,
      classifier_activation="softmax",
      **kwargs,
  ):
      return EfficientNet(
          1.2,
          1.4,
          300,
          0.3,
          model_name="efficientnetb3",
          include_top=include_top,
          weights=weights,
          input_tensor=input_tensor,
          input_shape=input_shape,
          pooling=pooling,
          classes=classes,
          classifier_activation=classifier_activation,
          **kwargs,
      )
  
imports: import copy
  import math
  from keras import backend
  from keras import layers
  from keras.api_export import keras_export
  from keras.applications import imagenet_utils
  from keras.models import Functional
  from keras.ops import operation_utils
  from keras.utils import file_utils
label_desc: Use image node_id 6 for calling a global function with example usage: EfficientNetB3(include_top, weights, input_tensor, input_shape, pooling, classes, classifier_activation) and returns: EfficientNet