Virtual event | November 9, 2021

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What's new in Google's ML ecosystem

Machine learning tools from Google 2021 | Keynote
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Building fair, ethical, and responsible AI with the Responsible AI Toolkit
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Manage MLOps and deploy ML to production with the new and improved TFX
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ML for mobile, microcontrollers and edge devices

Maching Learning for mobile | Keynote
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Simplified machine learning on mobile, browsers and edge devices with On-Device Machine Learning
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Building machine learning models with Edge Impulse
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Powering research at scale

State-of-the-art Machine Learning research with Google tools | Keynote
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Intro to JAX: Accelerating machine learning research
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How Machine Learning tools at Google made AlphaFold possible | Keynote
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Accelerating ML workflows

Simplified distributed training with tf.distribute parameter servers
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Cloud TPU v4: Fast, flexible, and easy-to-use ML accelerators
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Chip floorplanning with deep reinforcement learning
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Powered by TensorFlow

Powered by TensorFlow: how machine learning helps advance access to human rights information
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Made with TensorFlow.js Show & Tell highlights
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Powered by TensorFlow: creating a custom, machine learning-powered drumming arm
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Get involved

Engage with the Machine Learning community | Keynote
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How to get involved in Machine Learning
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TensorFlow Contributor Summit

Contributors to TensorFlow, including SIG members, TFUG organizers, and ML GDEs, can join us for a group discussion to meet fellow contributors and recognize outstanding contributions at the first TensorFlow Contributor Awards.

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