class_docstr: The base class for a network layer.
      
class_docstr_tok: ["The","base","class","for","a","network","layer","."]
docstr: Gets whether the weights are frozen or not.
          
docstr_tok: ["Gets","whether","the","weights","are","frozen","or","not","."]
code: def learning_enabled(self):
      """Gets whether the weights are frozen or not."""
      return self._internal.is_learning_enabled()
  
imports: import neoml.PythonWrapper
  import neoml.Random
label_desc: Use image node_id 3 for calling the Layer obj's underlying member method code with example usage: obj.learning_enabled() and returns: self