Latest Keras/TensorFlow 2.0, NLP with Stanford SQuAD, Spark SQL Expressions

Thanks to Grammarly SF for hosting!

The talks will be recorded.

Doors Open: 6:00pm
Talks Start: 6:30pm
Mingle: 8:30pm
End: 9:00pm

Agenda

• Intro Grammarly (Umayah Abdennabi, 5 mins)

• Meetup Updates and Announcements (Chris, 5 mins)

• Custom Functions in Spark SQL (30 mins)
  Speaker: Umayah Abdennabi

Spark comes with a rich Expression library that can be extended to make custom expressions. We will look into custom expressions and why you would want to use them.

• TF 2.0 + Keras (30 mins)
  Speaker: Francesco Mosconi

Tensorflow 2.0 was announced at the March TF Dev Summit, and it brings many changes and upgrades. The most significant change is the inclusion of Keras as the default model building API. In this talk, we'll review the main changes introduced in TF 2.0 and highlight the differences between open source Keras and tf.keras

• SQUAD Deep-Dive: Question & Answer with Context (45 mins)
  Speaker: Brett Koonce (https://quarkworks.co)

SQuAD (Stanford Question Answer Dataset) is an NLP challenge based around answering questions by reading Wikipedia articles, designed to be a real-world machine learning benchmark. We will look at several different ways to tackle the SQuAD problem, building up to state of the art approaches in terms of time, complexity, and accuracy.

https://rajpurkar.github.io/SQuAD-explorer/
https://dawn.cs.stanford.edu/benchmark/#squad

Food and drinks will be provided. The event will be held at Grammarly's office at One Embarcadero Center on the 9th floor. When you arrive at One Embarcadero, take the escalator to the second floor where you will find the lobby and elevators to the office suites. Come on up to the 9th floor (no need to check in at security), and ring the Grammarly doorbell.