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TFRT: A new TensorFlow runtime (TF Dev Summit '20)
TF 2.x on Kaggle (TF Dev Summit '20)
TensorFlow Extended (TF Dev Summit '20)
TensorFlow Hub: Making model discovery easy (TF Dev Summit '20)
TensorFlow Enterprise (TF Dev Summit '20)
Getting involved in the TF community (TF Dev Summit '20)
TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)
TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)
Fairness Indicators for TensorFlow (TF Dev Summit '20)
Responsible AI with TensorFlow (TF Dev Summit '20)
Understanding Tensorboard DIY#9
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Last Updated: September 26, 2026
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Summary
Sharing experiment results is an important part of the ML process. This talk shows how Learn tips and tricks from the Colab team. This talk describes how TensorFlow users make the most of Colab, and peeks behind ... TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ... Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ... TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ... TensorFlow Enterprise delivers enterprise-grade support, performance, and managed services for your AI workloads. TensorFlow ... Learn how you can be a part of the growing TensorFlow ecosystem and become a contributor through code, documentation, ... Learn how the Google production ML platform, TFX, is changing in 2020. Speakers: Tris Warkentin - Senior Product Manager ... TensorFlow.js is a platform for training and deploying machine learning models in browsers, or anywhere Javascript can run, such ... Introducing a framework to think about ML, fairness and privacy. This talk will propose a fairness-aware ML workflow, illustrate ... Google Drive: Data used for the Tensorflow real world tutorial: tinyurl.com/u3plpj3 Facebook Group for GCP: ...