Normalizes the numpy array to (min_value, max_value)

    Args:
        array: The numpy array
        min_value: The min value in normalized array (Default value = 0)
        max_value: The max value in normalized array (Default value = 1)

    Returns:
        The array normalized to range between (min_value, max_value)

def normalize(array, min_value=0., max_value=1.):
    """Normalizes the numpy array to (min_value, max_value)

    Args:
        array: The numpy array
        min_value: The min value in normalized array (Default value = 0)
        max_value: The max value in normalized array (Default value = 1)

    Returns:
        The array normalized to range between (min_value, max_value)
    """
    arr_min = np.min(array)
    arr_max = np.max(array)
    normalized = (array - arr_min) / (arr_max - arr_min + K.epsilon())
    return (max_value - min_value) * normalized + min_value