class_docstr: Container for a sequential model.
  
  # Arguments
  name: String to specify the name of the sequential model. Default is None.
  
  >>> sequential = Sequential(name="seq1")
  creating: createZooKerasSequential
code: def __init__(self, jvalue=None, **kwargs):
      super(Sequential, self).__init__(jvalue, **kwargs)
  
imports: import sys
  from bigdl.dllib.utils.utils import remove_batch
  from .engine.topology import KerasNet
  from bigdl.dllib.utils.common import to_list
  from bigdl.dllib.utils.log4Error import *
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.utils.bigdl_export import keras_export
label_desc: Use image node_id 1 to create a new Sequential object from inherited base classes: KerasNet with example: obj = Sequential(jvalue)