* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

    clarity. The 1.x API remains available in the compat.v1 module. A list of
    all symbol changes can be found
    [here](https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid=0).
    *   API clean-up, included removing `tf.app`, `tf.flags`, and `tf.logging`
        in favor of [absl-py](https://github.com/abseil/abseil-py).