Media Summary: TFRT is a new runtime for TensorFlow. Leveraging TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ... Learn tips and tricks from the Colab team. This talk describes how TensorFlow users make the most of Colab, and peeks behind ...
Mlir Accelerating Tf With Compilers Tf Dev Summit 20 - Detailed Analysis & Overview
TFRT is a new runtime for TensorFlow. Leveraging TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ... Learn tips and tricks from the Colab team. This talk describes how TensorFlow users make the most of Colab, and peeks behind ... Learn how you can be a part of the growing TensorFlow ecosystem and become a contributor through code, documentation, ... TensorFlow Enterprise delivers enterprise-grade support, performance, and managed services for your AI workloads. TensorFlow ... Cruise machine learning platform team worked with Google CMLE team together to enable distributed Tensorflow model training ...
The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. We will talk ... TensorFlow Lite provides tools to apply ML on mobile and edge, and do it in scale. We'll talk about TensorFlow Lite's end to end ... Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ... Live Perception is a challenging scenario enabled by on-device ML, in real-time, and with low-latency. In this talk you will learn ... The first question is how is ordering edge of Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief ...
This was a discussion about how to achieve upstream an end-to-end flow for ML compilation, intro slides are here: ... Google Lens is a visual browser for the world around us. Bringing Lens' server-side scene understanding abilities ondevice can ... TensorFlow Hub is a library for reusable pieces of machine learning. In this talk we will refresh when you would want to use it, talk ... This talk presents a profiler that Google internally uses to investigate TensorFlow is where it is today because of many amazing open source contributions, through GitHub, Special Interest Groups and ... Natural Language Processing (NLP) has hit an inflection point, and this talk shows you how TensorFlow and Keras make it easy ...
