c67aabab14b14fdef4b7e0ac576e2178dfb272b3,nlp_architect/models/np_semantic_segmentation.py,NpSemanticSegClassifier,build,#NpSemanticSegClassifier#Any#,94

Before Change

        first_layer_dens = 64
        second_layer_dens = 64
        output_layer_dens = 1
        model = Sequential()
        model.add(Dense(first_layer_dens, activation="relu", input_dim=input_dim))
        model.add(Dropout(0.5))
        model.add(Dense(second_layer_dens, activation="relu"))
        model.add(Dropout(0.5))

After Change

        first_layer_dens = 64
        second_layer_dens = 64
        output_layer_dens = 1
        model = tf.keras.models.Sequential()
        model.add(tf.keras.layers.Dense(first_layer_dens, activation="relu", input_dim=input_dim))
        model.add(tf.keras.layers.Dropout(0.5))
        model.add(tf.keras.layers.Dense(second_layer_dens, activation="relu"))
        model.add(tf.keras.layers.Dropout(0.5))

Instances