def create_linear_ae(input_dim=14, latent_dim=5):

    input_signal = Input(shape=(input_dim,))
    encoded = Dense(latent_dim, activation='relu')(input_signal)
    encoded = GaussianDropout(rate=0.2, input_shape=(latent_dim,))(encoded)

    input_encoded = Input(shape=(latent_dim,))
    decoded = Dense(latent_dim, activation='relu')(input_encoded)
    decoded = Dense(input_dim, activation='')(input_encoded)

    encoder = Model(input_signal, encoded, name="encoder")
    decoder = Model(input_encoded, decoded, name="decoder")
    autoencoder = Model(input_signal,
                        decoder(encoder(input_signal)),
                        name="autoencoder")
    return encoder, decoder, autoencoder