Deep Learning Sydney: TensorFlow 2.0

Thanks to Iman Eftekhari (Intellify) and Koorosh Lohrasbi (AWS) for sponsoring our great Deep Learning Sydney meetup in May!

Agenda for 28th/May/2019

Location: AWS on Level 37, 2 Park St, Sydney, NSW 2000

5:45pm: Catering
Enjoy Pizza and Drinks.

6:26pm: Opening speech, and housekeeping words by Richard Xu and Andy Zeng

6:30pm: Talk by Kale Temple from Intellify

Abstract:

Time-series, as a field of study, has largely focused on statistical methods that work well under strict assumptions. Specifically, when there is sufficient history, there is little meta-data and a well-formed auto-correlation structure. However, as an applied practitioner I know that most real-world time series problems violate these assumptions. This leaves us with an opportunity to use more modern time series methods, based on machine learning (and deep learning), to overcome these deficiencies. This session is designed to briefly speak about the unique properties of time-series, how statistical methods work and how and why machine learning (and deep learning) methods can be used to improve accuracy.

Speaker intro:

Kale Temple is the Co-founder and Practice Director at Intellify, a Data science and machine learning consultancy. He has been working in analytics and data science consulting for 5+ years and has helped a number of the world’s leading corporate and government organisations to deliver high impact data projects. He is currently an Honorary Affiliate of the University of Sydney’s Business School.

6:50pm: What is NEW in TensorFlow 2.0 by Erica Huang

Abstract:

In this talk, Erica will show audience a series of demos using TensorFlow 2.0; In here, she has included several examples to highlight the new features of TensorFlow 2.0 and to compare and contrast with that of TensorFlow 1.0

Speaker intro:

Ms Erica Huang graduated from Honors (first class) from University of Sydney in 2016. She is currently a PhD student at University of Technology Sydney (UTS) supervised by Prof Richard Xu. She is specializing in probabilistic Deep Learning Generation.

7:10pm: What is new in Deep Learning by Andy Zeng

This is Andy’s usual section on showing audience all the goodies happening in Deep Learning in the last six months.

7:20pm
Announcements and closing remarks by Iman Eftekhari and Koorosh Lohrasbi

7:30pm – 8:30 Social time
We encourage people to stay and to socialize. We strive to make the meetup a real “meetup” event. So please stay and enjoy the night with hundreds of Deep Learners!