parameters: (self, conversion_parameters: typing.Mapping[str, typing.Any])
return_statement: return ell.neural.FullyConnectedLayer(
              layer_parameters, region_detection_parameters)
docstring: Return the appropriate ELL node
docstring_summary: Return the appropriate ELL node
docstring_tokens: Return the appropriate ELL node
function: def convert(self, conversion_parameters: typing.Mapping[str, typing.Any]):
          """
          Return the appropriate ELL node
          """
          layer_parameters = self.get_layer_parameters(conversion_parameters)
  
          attributes = self.importer_node.attributes
  
          region_detection_parameters = ell.neural.RegionDetectionParameters(
              attributes["width"],
              attributes["height"],
              attributes["numBoxesPerCell"],
              attributes["numClasses"],
              attributes["numAnchors"],
              attributes["applySoftmax"]
          )
  
          return ell.neural.FullyConnectedLayer(
              layer_parameters, region_detection_parameters)
function_tokens: def convert ( self , conversion_parameters : typing . Mapping [ str , typing . Any ] ) : layer_parameters = self . get_layer_parameters ( conversion_parameters ) attributes = self . importer_node . attributes region_detection_parameters = ell . neural . RegionDetectionParameters ( attributes [ "width" ] , attributes [ "height" ] , attributes [ "numBoxesPerCell" ] , attributes [ "numClasses" ] , attributes [ "numAnchors" ] , attributes [ "applySoftmax" ] ) return ell . neural . FullyConnectedLayer ( layer_parameters , region_detection_parameters )