())
    model.add(keras.layers.BatchNormalization())
    model.add(keras.layers.Dense(64, activation=&#34;relu&#34;, kernel_initializer=&#34;he_normal&#34;))
    model.add(keras.layers.Dropout(0.5))
    model.add(keras.layers.Dense(num_classes, activation=activation))
    model.compile(loss=loss_func, optimizer=U.DEFAULT_OPT, metrics=metrics)

    return model


def _build_standard_gru(
    num_classes,
    maxlen,
    max_features,
    features,
    loss_func=&#34;categorical_crossentropy&#34;,
    activat