509bd66caee215c622ce3e44eea08b0625491b26,art/classifiers/keras.py,KerasClassifier,_initialize_params,#KerasClassifier#Any#Any#Any#Any#Any#,55

Before Change

        // Set loss, grads and prediction functions
        self._preds_op = preds
        self._loss = k.function([self._input], [loss])
        self._loss_grads = k.function([self._input, label_ph], [loss_grads])
        self._preds = k.function([self._input], [preds])

        // Get the internal layer

After Change

            logger.warning("Keras model has no loss set. Trying to use `k.sparse_categorical_crossentropy`.")
            loss_function = k.sparse_categorical_crossentropy
        else:
            if isinstance(self._model.loss, six.string_types):
                loss_function = getattr(k, self._model.loss)
            else:
                loss_function = getattr(k, self._model.loss.__name__)

        self._use_logits = use_logits
        if not use_logits:
            if k.backend() == "tensorflow":
                if custom_activation:

Instances