Media Summary: TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ... Cruise machine learning platform team worked with Google CMLE team together to enable distributed Tensorflow model training ... TensorFlow Enterprise delivers enterprise-grade support,

Performance Profiling In Tf 2 Tf Dev Summit 20 - Detailed Analysis & Overview

TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ... Cruise machine learning platform team worked with Google CMLE team together to enable distributed Tensorflow model training ... TensorFlow Enterprise delivers enterprise-grade support, The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. We will talk ... This talk will describe MLIR - machine learning compiler infrastructure for TensorFlow and explain how it helps TensorFlow to ... Live Perception is a challenging scenario enabled by on-device ML, in real-time, and with low-latency. In this talk you will learn ...

Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ... Sharing experiment results is an important part of the ML process. This talk shows how TensorBoard. TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ... As model training becomes more distributed in nature,

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Performance profiling in TF 2 (TF Dev Summit '20)
TensorFlow Profiler demo (TF Dev Summit '20)
TensorFlow Extended (TF Dev Summit '20)
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
TensorFlow Enterprise (TF Dev Summit '20)
Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
MLIR: Accelerating TF with compilers (TF Dev Summit '20)
ML solutions for Live Perception (TF Dev Summit '20)
TF 2.x on Kaggle (TF Dev Summit '20)
Collaborative ML with TensorBoard.dev (TF Dev Summit '20)
TFRT: A new TensorFlow runtime (TF Dev Summit '20)
Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)
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Performance profiling in TF 2 (TF Dev Summit '20)

Performance profiling in TF 2 (TF Dev Summit '20)

This talk presents a

TensorFlow Profiler demo (TF Dev Summit '20)

TensorFlow Profiler demo (TF Dev Summit '20)

Learn about TensorFlow

TensorFlow Extended (TF Dev Summit '20)

TensorFlow Extended (TF Dev Summit '20)

TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ...

Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)

Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)

Cruise machine learning platform team worked with Google CMLE team together to enable distributed Tensorflow model training ...

TensorFlow Enterprise (TF Dev Summit '20)

TensorFlow Enterprise (TF Dev Summit '20)

TensorFlow Enterprise delivers enterprise-grade support,

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. We will talk ...

MLIR: Accelerating TF with compilers (TF Dev Summit '20)

MLIR: Accelerating TF with compilers (TF Dev Summit '20)

This talk will describe MLIR - machine learning compiler infrastructure for TensorFlow and explain how it helps TensorFlow to ...

ML solutions for Live Perception (TF Dev Summit '20)

ML solutions for Live Perception (TF Dev Summit '20)

Live Perception is a challenging scenario enabled by on-device ML, in real-time, and with low-latency. In this talk you will learn ...

TF 2.x on Kaggle (TF Dev Summit '20)

TF 2.x on Kaggle (TF Dev Summit '20)

Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ...

Collaborative ML with TensorBoard.dev (TF Dev Summit '20)

Collaborative ML with TensorBoard.dev (TF Dev Summit '20)

Sharing experiment results is an important part of the ML process. This talk shows how TensorBoard.

TFRT: A new TensorFlow runtime (TF Dev Summit '20)

TFRT: A new TensorFlow runtime (TF Dev Summit '20)

TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ...

Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)

Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)

As model training becomes more distributed in nature,