class_docstr: Sequential Model.
  
  Args:
      name (str): Model name, also the variable scope.
      models (list[garage.tf.models.Model]): The models to be connected
          in sequential order.
class_docstr_tok: ["Sequential","Model",".","Args",":","name","(","str",")",":","Model","name",",","also","the","variable","scope",".","models","(","list","[","garage.tf.models.Model","]",")",":","The","models","to","be","connected","in","sequential","order","."]
code: def __init__(self, *models, name=None):
      super().__init__(name)
      self._models = models
      self._first_network = None
      self._last_network = None
  
file_path: garage/src/garage/tf/models/sequential.py
imports: from garage.tf.models.model import Model
label_desc: Use image node_id 1 to create a new Sequential object from inherited base classes: Model with example: obj = Sequential()