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","."]
docstr: tf.Tensor: outputs of the model by default.
docstr_tok: ["tf.Tensor",":","outputs","of","the","model","by","default","."]
code: def outputs(self):
      """tf.Tensor: outputs of the model by default."""
      return self._last_network.outputs
  
file_path: garage/src/garage/tf/models/sequential.py
imports: from garage.tf.models.model import Model
label_desc: Use image node_id 6 for calling the Sequential obj's underlying member method code with example usage: obj.outputs() and returns: self