But Guava aims to provide functionality that is useful across boundaries of projects,
        companies, or even industries — utilities useful for a sizable proportion of all Java
        programmers everywhere. If you can give enough detail such that any of us can imagine coming
        across a similar need in our own work, that's extremely helpful in studying how broadly

        But Guava aims to provide features that are useful across boundaries of projects, companies,
        or even industries — utilities useful for a sizable proportion of all Java programmers
        everywhere. If you can give enough detail such that any of us can imagine coming across
        a similar need in our own work, that's extremely helpful in studying how broadly useful the

    *   Add `tf.contrib.bayesflow.layers`, a collection of probabilistic
        (neural) layers.
    *   Add `tf.contrib.bayesflow.halton_sequence`.
    *   Add `tf.contrib.data.make_saveable_from_iterator.`
    *   Add `tf.contrib.data.shuffle_and_repeat`.
    *   Add new custom transformation: `tf.contrib.data.scan()`.
    *   `tf.contrib.distributions.bijectors`: