Join us for "Dancing with deep learning in the browser" as Noon van der Silk takes us through machine learning with Tensorflow JS; and "How to make a case for doing the 'good stuff'" with Patima Tantiprasut - helping us with those sometimes difficult conversations to make sure we can consider things like performance, privacy and accessibility in our product development.
Thanks to our sponsors Zendesk, StarRez, Hays, and RateMyAgent there will be lots to eat and drink; we have great presenters lined up; and there will be plenty of opportunity to network and socialise at the event and at the Mitre Tavern afterwards.
- - -
* Agenda *
18:00 - Doors open, food arrives
18:30 - Presentations
20:00 - Head to the Mitre Tavern
- - -
* The Presentations *
How to make a case for doing the 'good stuff'
Ever been in conversations where accessibility is de-scoped because it’s considered an additional extra? Or where mapping out privacy concerns, performance and ethical considerations aren’t part MVP? Or that there’s simply not enough budget for research and learning?
If there’s no denying that these areas are incredibly important, then why are these things… denied?
Let’s explore ways that we can empower ourselves to be able to reason with confidence and conviction.
@the_patima is the GM at PetRescue, a progressive animal welfare charity using technology to help save lives and bring happiness. Prior to this, she was the Head of Product and Design at Seven West Media and also the Creative Director at Perth-based digital agency, Bam Creative. She’s been an advocate and case-maker for doing ‘good stuff’ on the web for most of her career.
- - -
Dancing with deep learning in the browser!
Noon van der Silk
We will take a look at how deep learning is coming to the web, and how we can use it to have fun, interactive experiences, running straight of your webcam!
Noon is a programmer working in deep learning. He enjoys working on creative projects, and collaborating with people. He runs the Braneshop - http://braneshop.com.au, where he works on teaching deep learning.