class_docstr: List property that contains specified element types.
  
  Parameters
  ----------
  n_elements : int
      Number of elements in the list. The ``None``
      value mean that list can contains any number of
      elements. Defaults to ``None``.
  
  element_type : object or tuple
      Type of the elements within the list.
  
  {BaseProperty.Parameters}
class_docstr_tok: ["List","property","that","contains","specified","element","types",".","Parameters","--","--","--","--","--","n_elements",":","int","Number","of","elements","in","the","list",".","The","``","None","``","value","mean","that","list","can","contains","any","number","of","elements",".","Defaults","to","``","None","``",".","element_type",":","object","or","tuple","Type","of","the","elements","within","the","list",".","{","BaseProperty.Parameters","}"]
code: def __init__(
      self, n_elements=None, element_type=int, *args, **kwargs
  ):
      self.n_elements = n_elements
      self.element_type = element_type
      super(TypedListProperty, self).__init__(*args, **kwargs)
  
imports: import numbers
  import inspect
  import numpy
  import tensorflow
  from neupy import init
  from neupy.utils import as_tuple
  from neupy.core.docs import SharedDocs
label_desc: Use image node_id 1 to create a new TypedListProperty object from inherited base classes: BaseProperty with example: obj = TypedListProperty(n_elements, element_type)