Google I/O Archives

Google I/O 2019 | Cutting Edge TensorFlow: New Techniques

Google I/O 2019 | Cutting Edge TensorFlow: New Techniques There’s lots of great new things available in TensorFlow since last year’s IO. This session will take you through 4 of…

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Google I/O 2019 | Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems

Google I/O 2019 | Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems Cloud Tensor Processing Unit (TPU) is an ASIC designed by Google for neural network processing. TPUs…

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Google I/O 2019 | TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow

Google I/O 2019 | TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow TF-Agents is a clean, modular, and well-tested open-source library for Deep Reinforcement Learning with TensorFlow. This session will…

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Google I/O 2019 | Machine Learning Fairness: Lessons Learned

Google I/O 2019 | Machine Learning Fairness: Lessons Learned ML fairness is a critical consideration in machine learning development. This session will present a few lessons Google has learned through…

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Google I/O 2019 | Federated Learning: Machine Learning on Decentralized Data

Google I/O 2019 | Federated Learning: Machine Learning on Decentralized Data Meet federated learning: a technology for training and evaluating machine learning models across a fleet of devices (e.g. Android…

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Google I/O 2019 | Machine Learning Zero to Hero

Google I/O 2019 | Machine Learning Zero to Hero This is a talk for people who know code, but who don’t necessarily know machine learning. Learn the ‘new’ paradigm of…

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Google I/O 2019 | Swift for TensorFlow

Google I/O 2019 | Swift for TensorFlow Swift for TensorFlow is a platform for the next generation of machine learning that leverages innovations like first-class differentiable programming to seamlessly integrate…

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Google I/O 2019 | Train Custom Machine Learning Models with No Data Science Expertise

Google I/O 2019 | Train Custom Machine Learning Models with No Data Science Expertise Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning…

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Google I/O 2019 | TensorFlow Extended: Machine Learning Pipelines and Model Understanding

Google I/O 2019 | TensorFlow Extended: Machine Learning Pipelines and Model Understanding This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement…

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Google I/O 2019 | Getting Started with TensorFlow 2.0

Google I/O 2019 | Getting Started with TensorFlow 2.0 TensorFlow 2.0 is here! Understand new user-friendly APIs for beginners and experts through code examples to help you create different flavors…

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Google I/O

Google I/O 2019 | Cutting Edge TensorFlow: New Techniques

Google I/O 2019 | TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow

Google I/O 2019 | Machine Learning Fairness: Lessons Learned

Google I/O 2019 | Federated Learning: Machine Learning on Decentralized Data

Google I/O 2019 | Machine Learning Zero to Hero

Google I/O 2019 | Swift for TensorFlow

Google I/O 2019 | TensorFlow Extended: Machine Learning Pipelines and Model Understanding

Google I/O 2019 | Getting Started with TensorFlow 2.0

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