Media Summary: Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Derek Murray discusses tf.data, the recommended API for building input pipelines in In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and

Distributed Tensorflow Tensorflow Dev Summit 2017 - Detailed Analysis & Overview

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Derek Murray discusses tf.data, the recommended API for building input pipelines in In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and Cruise machine learning platform team worked with Google CMLE team together to enable Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...

Photo Gallery

Distributed TensorFlow (TensorFlow Dev Summit 2017)
TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)
TensorFlow at DeepMind (TensorFlow Dev Summit 2017)
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
Distributed Processing and Components (TensorFlow Extended)
Highlights from the 2017 TensorFlow Dev Summit
Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)
Sponsored
View Detailed Profile
Distributed TensorFlow (TensorFlow Dev Summit 2017)

Distributed TensorFlow (TensorFlow Dev Summit 2017)

TensorFlow

TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)

TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)

Generating input data, running

Distributed TensorFlow (TensorFlow Dev Summit 2018)

Distributed TensorFlow (TensorFlow Dev Summit 2018)

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...

tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)

tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)

Derek Murray discusses tf.data, the recommended API for building input pipelines in

TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)

TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)

TensorFlow

Sponsored
TensorFlow at DeepMind (TensorFlow Dev Summit 2017)

TensorFlow at DeepMind (TensorFlow Dev Summit 2017)

In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and

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 Processing and Components (TensorFlow Extended)

Distributed Processing and Components (TensorFlow Extended)

On today's episode of

Highlights from the 2017 TensorFlow Dev Summit

Highlights from the 2017 TensorFlow Dev Summit

Thousands of people from the

Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

This talk demonstrates how to perform

TensorFlow Hub (TensorFlow Dev Summit 2018)

TensorFlow Hub (TensorFlow Dev Summit 2018)

Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...

Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)

Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)

Did you know that

Project Magenta (TensorFlow Dev Summit 2018)

Project Magenta (TensorFlow Dev Summit 2018)

Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...