(self, layers, name=None, start_index=None)
Arguments:
            layers: the layers to use for this Decoder
            start_index: the index of the symbol to use as the start symbol
                         when generating a new sequence.  If None, defaults to
                         all 0 (not the same as index 0)
Arguments:
            layers: the layers to use for this Decoder
            start_index: the index of the symbol to use as the start symbol
                         when generating a new sequence.  If None, defaults to
                         all 0 (not the same as index 0)
Arguments : layers : the layers to use for this Decoder start_index : the index of the symbol to use as the start symbol when generating a new sequence . If None defaults to all 0 ( not the same as index 0 )
def __init__(self, layers, name=None, start_index=None):
        """
        Arguments:
            layers: the layers to use for this Decoder
            start_index: the index of the symbol to use as the start symbol
                         when generating a new sequence.  If None, defaults to
                         all 0 (not the same as index 0)

        """
        super(Decoder, self).__init__(layers, name)
        # list of recurrent layers only:
        self._recurrent = [l for l in self.layers if isinstance(l, Recurrent)]
        self.connections = None
        self.full_steps = None
        self.start_index = start_index
def __init__ ( self , layers , name = None , start_index = None ) : super ( Decoder , self ) . __init__ ( layers , name ) # list of recurrent layers only: self . _recurrent = [ l for l in self . layers if isinstance ( l , Recurrent ) ] self . connections = None self . full_steps = None self . start_index = start_index