#TFdevsummit

Now at #TFDevSummit, we discuss the new ML framework for JavaScript developers, focusing on TensorFlow.js-Core! 1035 PDT - ML in JavaScript Watch the livestream now → Read the blog post →

Curious about new TensorFlow 2.0 features? Have a tricky ML problem only an expert can solve? @DynamicWebPaige & @lmoroney will be answering questions live at #TFDevSummit on March 6. Use #AskTensorFlow to send us your questions for a chance to be featured on the livestream!

Just finished the #TensorFlow 2 chapter for the upcoming 2nd edition of my #HandsOnML book. As a picture is worth a thousand words, here's a peek at one of the figures about @TensorFlow Functions. Looking forward to the #TFDevSummit ! 😀

The new and improved has lots of updated documentation, developer resources, and case studies to help you build AI applications with TensorFlow! #TFDevSummit Check it out here →

With 3 weeks left until #TFDevSummit, get to know our speakers! Meet the speakers → If you won't be joining us in person, watch out for details about our livestream, which will be available on the event page

Last year, we released libraries from TensorFlow Extended (TFX). Today at #TFDevSummit we're excited to release the orchestration layer of TFX to the open source community, bringing it all together! Tune in to learn more →

#Tensorflowjs is intended to be compatible with #Keras and really easy for Keras users to learn. Check out a Keras user's guide to TensorFlow.js: @fchollet #TFDevSummit

We’re thrilled to announce Intro to TensorFlow for Deep Learning by @Udacity! This free course provides a practical approach to learning TensorFlow so that any developer can build #ML models easily. #TFDevSummit Get started today →

I have no idea how this is physically possible, but the amazing TensorFlow team has the session videos already available on YouTube! Check out the Swift for @TensorFlow video at #TFDevSummit 2019 here:

Take a look at the newly launched TensorFlow YouTube channel! Throughout the day, we will be posting all the #TFDevSummit sessions here → We will be walking through our demos until sessions continue at 1355 PDT:

#TFDevSummit kicks off tomorrow with the Keynote at 9:30 AM PDT! Tune in for a full day of highly technical talks, demos, and conversation with the TensorFlow team and community Watch the livestream here →

We've (officially) announced the TensorFlow Privacy open source library on GitHub. Using it makes it easier to train machine-learning models with privacy. #TFDevSummit Read the post to learn more ↓

TensorFlow 2.0 is designed to make things easier for developers, using features like eager execution and the new tf.​function API. We can't wait to show you more at the #TFDevSummit on March 6th, so be to sure to tune in! Sign up for updates here →

Learn how TensorFlow Extended (TFX) uses Apache Beam to simplify pre- and post-processing for ML pipelines in this talk by @robert_crowe at @Lyft HQ. Stay tuned for new TFX announcements coming up at the #TFDevSummit 2019! Watch here →

Want to experience #TFDevSummit with your community? Join one of many viewing parties all over the world! The session livestream will kick off at 9:30AM PDT on 30-March on our event page! Browse the TensorFlow Dev Summit map to find an event near you →

Thank you to our attendees, speakers and staff for making #TFDevSummit 2018 a success! You can watch the session recordings here → Catch up on the announcements on our blog →

In this video from #TFDevSummit 2019, @random_forests and @fastdotai founder, @jeremyphoward chat about the future of Swift for TensorFlow and the new Swift online course coming to this June! Watch this TensorFlow Meets here →

Mark your calendars! 📅✍️ The #TFDevSummit is coming up on March 11-12 and we couldn't be more excited. Join us on the livestream to witness machine learning magic and the latest and greatest from TensorFlow, no matter where you are. Learn more →

#TensorFlowJS continues to grow since we revealed it last year - over 300K downloads! Tune in for an overview of the new tools available for training and deploying your models in the browser. Watch #TFDevSummit now →

TensorFlow Extended (TFX) is an end-to-end ML platform built around TensorFlow. Learn more about TFX and a new component, TensorFlow Model Analysis Watch the #TFDevSummit session here → Read the blog post here →