Happy 3rd Birthday TensorFlow, Google Brain, HUB-GANS and BERT


This month we have a couple of new speakers in from Google Brain Mountain View. The focus for this MeetUp's main talks will be on looking full pipelines for TensorFlow in the cloud, but we'll also include Deep Learning content to make sure there's something for everyone.

Planned Talks :

"tf.data Beyond the Basics" - Rachel Lim
Rachel works on the tf.data team and will show some of the useful techniques for dealing with data pipelines in TensorFlow

"TFX: Complete ML Pipelines" - Chuan Yu Foo
Foo will go through the different components that have been open-sourced (TensorFlow Data Validation, TensorFlow Transform, TensorFlow Model Analysis, TensorFlow Serving), what they do, and how they can be used together to build machine learning pipelines.

"Language Learning with BERT" - Martin Andrews
In this talk for people just starting out, Martin will describe how Google's new BERT model can turbo charge your Natural Language Processing solutions.

"TF Hub GANs" - Sam Witteveen
Recently a number of key GANs have been released including BigGAN by DeepMind. While these GANs require a tremendous amount of compute and time to train, they have now become available for anyone to use through TF Hub. Sam will give a short talk about how you can access these models in TF Hub and use them to generate images.


Talks will start at 7:00pm (A/V equipment permitting) and end at around 9:00pm, at which point people normally come up to the front for a bit of a chat with each other, and the speakers.


As always, we're actively looking for more speakers for future events - both '30 minutes long-form', and lightning talks. For the lightning talks, we welcome folks to come and talk about something cool they've done with TensorFlow and/or Deep Learning for 5-10mins (so, if you have slides, then #max=10). We believe that the key ingredient for the success of a Lightning Talk 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 :