Google hosts the TensorFlow Dev Summit every year in Mount View, California. It is a full day event where the teams at TensorFlow and Google Brain share advances made in machine learning through talks and demos. The event brings together machine learning researchers with varying levels of expertise from industry and academia. This year, the event was held on March 30, 2018 at The Computer History Museum in Mountain View. The talks from the entire event are also available on YouTube.
My attendance at the event was made possible through a travel grant sponsored by Women TechMakers. A total of 9 researchers who identified as female were offered travel and accommodation support to attend the event in person. It was a great opportunity to meet some of the brightest minds in the field of Machine Learning and Artificial Intelligence. Meeting Jeff Dean, Rachel Thomas, Jeremy Howard, Rajat Monga and so many others in-person, and learning about the work they do and why they do it made this event very different from most that I attend as a graduate student. Though the number of women in the room was not very different from a technical conference, one could appreciate the efforts by Google to provide an inclusive environment.
The event included multiple receptions where we could meet people and test live demos. If you are interested in learning about TensorFlow, it has become a lot easier than even 6 months ago.
Find easy ways to get started on
If you have any questions, tweet with #AskTensorFlow.
Here are a few images in the form of tweets from the event:
I strongly recommend anyone with interest in Machine Learning to attend the event in-person. It is refreshing to see the reach of open source libraries and the AI community is easily one of the most supportive communities I have been a part of.