This interview features my conversation with Alfredo Luque, a software engineer on the machine infrastructure team at Airbnb.
Subscribe: iTunes / Google Play / Spotify / RSS
If you’re among the many TWIML fans interested in AI Platforms and ML infrastructure, you probably remember my interview with Airbnb’s Atul Kale, in which we discussed their Bighead platform. In my conversation with Alfredo, we dig a bit deeper into Bighead’s support for TensorFlow, discuss a recent image categorization challenge they solved with the framework, and explore what the new 2.0 release means for their users.
Check out Tensorflow 2.0!
We’d like to send a huge thanks to the TensorFlow team for helping us bring you this podcast series and giveaway. With all the great announcements coming out of the TensorFlow Dev Summit, including the 2.0 alpha, you should definitely check out the latest and greatest at tensorflow.org where you can also download and start building with the framework.
Dev Summit attendees received an awesome gift box from Google that included some fun toys that will appeal to the hackers and builders in our audience, including the new Coral Edge TPU device and the SparkFun Edge development board powered by TensorFlow. If you’re a geek like me and get excited about toys like these, I’m excited to tell you that we’ve got our hands on a few of these for you, our dedicated listeners. To enter to win one, just visit twimlai.com/tfgiveaway and let us know what you would do with this kit if you got your hands on it.
The O’Reilly Artificial Intelligence Conference is returning to New York in April and we have one FREE conference pass for a lucky listener! Visit twimlai.com/ainygiveaway for more details.
Mentioned in the Interview
- Categorizing Listing Photos at Airbnb
- Bighead: Airbnb’s Machine Learning Platform with Atul Kale
- Zipline: Airbnb’s Machine Learning Data Management Platform
- Check out all of our great series from 2018 at the TWIML Presents: Series page!
- TWIML Online Meetup
- Register for the TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0