TensorFlow and Deep Learning: 3rd Event Generative Deep Learning

Having seen the level of interest in Sam's talk about Generative Adversarial Networks in February, we've got two talks that explore how Networks can be used to create content.

As an introduction to the ideas, Martin will explain how 'Style Transfer' works.

Taking it further, Sam will show his recent work on Super-Resolution (making CSI's "enhance" a reality).

We've also got two confirmed "Lightning Talks" : One of which focuses on the architecture of the recently TPU devices from Google.

As always, we're actively look for more speakers - both '30 minutes long-form', and lightning talks where we welcome folks to come up and talk about something cool they've done with TensorFlow and/or Deep Learning for 5-10mins (if you have slides, then #max=10).

The key for the Lightning Talks slot is simply the cool/interesting factor. It doesn't matter whether you're an expert or and enthusiastic beginner: Given the responses we have had, we're sure there are lots of people who would be interested to hear what you've been playing with. Please suggest yourself here : https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/suggestion/ (https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/suggestion/)