Media Summary: Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief ... Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ... TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ...

Optimize Your Models With Tf Model Optimization Toolkit Tf Dev Summit 20 - Detailed Analysis & Overview

Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief ... Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ... TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ... This talk presents a profiler that Google internally uses to investigate TensorFlow Enterprise delivers enterprise-grade support, performance, and managed services for 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 ...

This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ... This AI safety solution lets you guarantee that Learn about TensorFlow Profiler: TensorFlow's performance profiler which provides a wide range of tools across GPU/TPU/CPU ... Learn about how to deploy ML to mobile phones and embedded devices. Now deployed on billions of devices in production - it's ... In this talk we'll go over some interesting features of

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Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
Accelerate models with TFLite Delegates (TF Dev Summit '20)
TF 2.x on Kaggle (TF Dev Summit '20)
TFRT: A new TensorFlow runtime (TF Dev Summit '20)
Performance profiling in TF 2 (TF Dev Summit '20)
TensorFlow Enterprise (TF Dev Summit '20)
Easy on-device ML from prototype to production (TF Dev Summit '20)
TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)
Making the most of Colab (TF Dev Summit '20)
Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20)
TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)
Getting involved in the TF community (TF Dev Summit '20)
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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

Accelerate models with TFLite Delegates (TF Dev Summit '20)

Accelerate models with TFLite Delegates (TF Dev Summit '20)

Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief ...

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 ...

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 ...

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

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

This talk presents a profiler that Google internally uses to investigate

TensorFlow Enterprise (TF Dev Summit '20)

TensorFlow Enterprise (TF Dev Summit '20)

TensorFlow Enterprise delivers enterprise-grade support, performance, and managed services for

Easy on-device ML from prototype to production (TF Dev Summit '20)

Easy on-device ML from prototype to production (TF Dev Summit '20)

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 ...

TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)

TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)

Learn how

Making the most of Colab (TF Dev Summit '20)

Making the most of Colab (TF Dev Summit '20)

Learn tips and tricks from

Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20)

Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20)

This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ...

TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)

TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)

This AI safety solution lets you guarantee that

Getting involved in the TF community (TF Dev Summit '20)

Getting involved in the TF community (TF Dev Summit '20)

Learn how you can be a part of

Fairness Indicators for TensorFlow (TF Dev Summit '20)

Fairness Indicators for TensorFlow (TF Dev Summit '20)

Within this TensorFlow

TensorFlow Profiler demo (TF Dev Summit '20)

TensorFlow Profiler demo (TF Dev Summit '20)

Learn about TensorFlow Profiler: TensorFlow's performance profiler which provides a wide range of tools across GPU/TPU/CPU ...

TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)

TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)

Learn about how to deploy ML to mobile phones and embedded devices. Now deployed on billions of devices in production - it's ...

Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)

Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)

TensorFlow's

20: Modules, layers and models - 4 | Checkpoint | TensorFlow | Tutorial

20: Modules, layers and models - 4 | Checkpoint | TensorFlow | Tutorial

The

Research with TensorFlow (TF Dev Summit '20)

Research with TensorFlow (TF Dev Summit '20)

In this talk we'll go over some interesting features of