without finetune_act_function in deep autoencoder

[TaoDFang]

def _create_encoding_layers(self):
    """Create the encoding layers for supervised finetuning.
    
    :return: output of the final encoding layer.
    """
    
    next_train=self.input_data
    self.layers_nodes=[]
    for l, layer in enumerate(self.layers):
        with tf.name_scope('encode-{}'.format(l)):
            y_act=tf.add(
                    tf.matmul(next_train,self.encoding_w_[l]),
                    self.encoding_b_[l]
                    )
            if self.finetune_act_func:
                layer_y=self.finetune_act_func(y_act)
            else:
                layer_y=None    ##!!!!!!!!!!!!!! not right here
                
            # the input of the next layer is the output of the last layer
            next_train=tf.nn.dropoput(layer_y,self.keep_prob)
        self.layer_nodes.append(next_train)
    return next_train

should be : if self.finetune_act_func:
layer_y=self.finetune_act_func(y_act)
else:
layer_y=y_act