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
docstr: Create a Python Model base on the given java value
  :param jvalue: Java object create by Py4j
  :return: A Python Model
docstr_tok: ["Create","a","Python","Model","base","on","the","given","java","value",":","param","jvalue",":","Java","object","create","by","Py4j",":","return",":","A","Python","Model"]
code: def from_jvalue(jvalue, bigdl_type="float"):
      """
      Create a Python Model base on the given java value
      :param jvalue: Java object create by Py4j
      :return: A Python Model
      """
      model = Sequential(jvalue=jvalue)
      model.value = jvalue
      return model
  
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 4 for calling the Sequential obj's underlying member method code with example usage: obj.from_jvalue(jvalue, bigdl_type) and returns: model