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
class_docstr_tok: ["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)
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/keras/models.py
imports: import sys
  from zoo.pipeline.api.utils import remove_batch
  from .engine.topology import KerasNet
  from bigdl.util.common import to_list
  from zoo.common.utils import callZooFunc
label_desc: Use image node_id 1 to create a new Sequential object from inherited base classes: KerasNet with example: obj = Sequential(jvalue)