(self, train_set, valid_set, max_fm=16, dataset_pct=25)
Convenience function to create and add a deconvolution callback. The data can
        be used for visualization.

        Arguments:
            train_set (NervanaDataIterator): the train dataset to use
            valid_set (NervanaDataIterator):the validation dataset to use
            max_fm:  (Default value = 16)
            dataset_pct:  (Default value = 25)
Convenience function to create and add a deconvolution callback. The data can
        be used for visualization.
Convenience function to create and add a deconvolution callback . The data can be used for visualization .
def add_deconv_callback(self, train_set, valid_set, max_fm=16, dataset_pct=25):
        """
        Convenience function to create and add a deconvolution callback. The data can
        be used for visualization.

        Arguments:
            train_set (NervanaDataIterator): the train dataset to use
            valid_set (NervanaDataIterator):the validation dataset to use
            max_fm:  (Default value = 16)
            dataset_pct:  (Default value = 25)
        """
        self.add_callback(DeconvCallback(train_set, valid_set,
                                         max_fm=max_fm, dataset_pct=dataset_pct))
def add_deconv_callback ( self , train_set , valid_set , max_fm = 16 , dataset_pct = 25 ) : self . add_callback ( DeconvCallback ( train_set , valid_set , max_fm = max_fm , dataset_pct = dataset_pct ) )