Source code for flowws_keras_experimental.Classifier

import flowws
from flowws import Argument as Arg
from tensorflow import keras

from .internal import sequence

[docs]@flowws.add_stage_arguments class Classifier(flowws.Stage): """Specify a simple classifier output.""" ARGS = [ Arg('activation', default='softmax') ] def run(self, scope, storage): layers = [] layers.append(keras.layers.Dense( scope['num_classes'], activation=self.arguments['activation'])) scope['output'] = sequence(scope['output'], layers) scope['loss'] = 'sparse_categorical_crossentropy' scope.setdefault('metrics', []).append('accuracy')