(self, callback_data, model, epoch, minibatch)
Called when minibatch is about to end

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epoch (int): index of current epoch
            minibatch (int): index of minibatch that is ending
Called when minibatch is about to end
Called when minibatch is about to end
def on_minibatch_end(self, callback_data, model, epoch, minibatch):
        """
        Called when minibatch is about to end

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epoch (int): index of current epoch
            minibatch (int): index of minibatch that is ending
        """
        self.cost_history.append(model.cost.cost)
        mean_cost = sum(self.cost_history) / len(self.cost_history)
        mbstart = callback_data['time_markers/minibatch'][epoch - 1] if epoch > 0 else 0

        callback_data['cost/train'][mbstart + minibatch] = mean_cost
def on_minibatch_end ( self , callback_data , model , epoch , minibatch ) : self . cost_history . append ( model . cost . cost ) mean_cost = sum ( self . cost_history ) / len ( self . cost_history ) mbstart = callback_data [ 'time_markers/minibatch' ] [ epoch - 1 ] if epoch > 0 else 0 callback_data [ 'cost/train' ] [ mbstart + minibatch ] = mean_cost