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Recap of TensorFlow at Google I/O 2021
Thanks to everyone who joined our virtual I/O 2021 livestream! While we couldn’t meet in person, we hope we were able to make the event more accessible than ever. In this article, we’re recapping a few of the updates we shared during the keynote. You can watch the keynote below, and you can find recordings of every talk on the TensorFlow for an early access program today, and we expect a full rollout later this year.
You can now run TensorFlow Lite models on the web
All your TensorFlow Lite models can now directly be run on the web in the browser with the new . This task-based API supports running all with easy, intuitive TensorFlow.js compatible APIs. With this option, you can unify your mobile and web ML development with a single stack.
A new On-Device Machine Learning site
We understand that the most effective developer path to reach Android, the Web and iOS isn’t always the most obvious. That’s why we created a new includes built-in support for Systrace, integrating seamlessly with perfetto for Android 10.
And perf improvements aren’t limited to Android – for iOS developers TensorFlow Lite comes with built-in support for signpost-based profiling. When you build your app with the trace option enabled, you can run the Xcode profiler to see the signpost events, letting you dive deeper, and seeing all the way down to individual ops during execution.
— ready today for production ML at enterprise-scale. TFX includes all of the things an enterprise-ready framework needs, including enterprise-grade support, security patches, bug fixes, and guaranteed backward compatibility for the entire 1.X release cycle. It also includes strong support for running on Google Cloud and support for mobile, web, and NLP applications.
If you’re ready for production ML, TFX is ready for you. Visit the (KYD) is a new tool to help ML researchers and product teams understand rich datasets (images and text) with the goal of improving data and model quality, as well as surfacing and mitigating fairness and bias issues. Try the interactive demo at the link above to learn more.
. This update is designed to help you put best practices and guidance for people-centric AI into practice with a lot of new resources including code, design patterns and much more!
Also check out our (including favorites like random forests and gradient boosted trees) using familiar Keras APIs. There’s support for many state-of-the-art algorithms for training, serving and interpreting models for classification, regression and ranking tasks. And you can serve your decision forests using TF Serving, just like any other model trained with TensorFlow. Check out the tutorials from this session.
TensorFlow Lite for Microcontrollers
A new pre-flashed board, experiments, and a challenge
that let you make gestures and even create your own classifiers and run custom TensorFlow models. If you’re interested in challenges, we’re also running a new TensorFlow Lite for Microcontrollers challenge, you can check it out
Google Cloud
Vertex AI: A new managed ML platform on Google Cloud
An ML model is only valuable if you can actually put it into production. And as you know, it can be challenging to productionize efficiently and at scale. That’s why Google Cloud is releasing provides APIs that ease the transition from local model building and debugging to distributed training and hyperparameter tuning on Google Cloud. From inside a Colab or Kaggle Notebook or a local script file, you can send your model for tuning or training on Cloud directly, without needing to use the Cloud Console. We recently added a for you to ask questions and connect with the community. It’s a place for developers, contributors, and users to engage with each other and the TensorFlow team. Create your account and join the conversation at
Find all the talks here
This is just a small part of what was shared at Google I/O 2021. You can find all of the TensorFlow sessions in this
Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf blog.tensorflow.org.
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