What we'll do
Time: 6pm – 8pm, Thursday 2nd March 2017
Location: Level 38, KPMG Sydney, Tower 3, International Towers Sydney, 300 Barangaroo Avenue, Sydney NSW 2000
Enjoy Food and beverages.
6:25pm – 6:30pm: “Hello Alexa”, by Dr. Andy Zeng
Dr Andy Zeng is the co-founder of Deep Learning Sydney, Associate Director of Data Science at KPMG, and Adjunct Associate at UTS.
Abstract: This 5-minute talk will introduce how to launch the power of deep learning with Alexa, with a live demo.
6:30pm – 6:50pm: “Complex Event Processing and Machine Learning for near real time events”, by Gavin Whyte
Speaker intro: Gavin Whyte, Director of Data Science, Analytics, Information and Modelling at KPMG, has over 25 years’ experience specialising in machine learning and software development. He is a seasoned Data Scientist, executive, leader and strategist an expert in business communications, product and process design relating to Data Science space. As a Director of Data Science for KPMG, and a machine learning specialist, he focuses on Data Science models for predictive capabilities. He has worn many hats in his career from software programmer, researcher, manager, strategist, technical reviewer for manning publications and Data Scientist.
Abstract: The talk will go into complex event processing and functional programming with key focus on machine learning for near real time transactions. This type of application applies to varied use cases e.g., IOT, National Payments Platform, Fraud Detection, Network Analysis, Next best offer etc. Gavin will talk through the complexities of setting up a near real time framework and demo a tried and tested framework.
6:50pm – 7:10pm: "What goes on in the last layer of a neural network" by Dr. Richard Xu
Speaker Intro: Dr Richard Xu is the Director of Industry Analytics and Visualisation at UTS, and co-founder of Deep Learning Sydney. He leads a group of 12 talented PhD students and engineers to apply our research and engineering skills to both Government and Retail insight analytics. In addition to cutting edge research, his group has also mastered modern data science tools, including Spark and TensorFlow. His series of Statistics, Probability and Machine Learning course is attracting PhD students all around the world.
Abstract: The last layer of a network is typically the loss function: Each of them performs a different task. In this talk, Richard will briefly go over these loss functions, including Soft-max, Linear, Centre, Contrastive and Triplet. He will also illustrate some of the insights of different loss functions. This session will follow with a demo by Richard’s engineer.
7:10pm – 7:15pm: "What’s new in Deep Learning?" Dr Andy Zeng
Abstract: All the latest goodies in Deep Learning.
7:15pm – 7:20pm: Announcement
This is an announcement session. Anyone who would announce anything relates to deep learning and data science (e.g., hiring, new meetup, and new startup), please contact Andy for proper arrangement.
7:10pm: Catering Round 2
More food and drinks for our social session
7:20pm – 8:00pm: Social Session
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!