Media Summary: Andrew Gasparovic and Jeremiah Harmsen dicuss TF Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Sarah Sirajuddin and Andrew Selle discuss

Tensorflow Hub Tensorflow Dev Summit 2018 - Detailed Analysis & Overview

Andrew Gasparovic and Jeremiah Harmsen dicuss TF Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Sarah Sirajuddin and Andrew Selle discuss Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Derek Murray discusses tf.data, the recommended API for building input pipelines in

Photo Gallery

TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Hub for real world impact | Session
TensorFlow Dev Summit 2018 - Livestream
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
Training models faster with TensorFlow Hub (TensorFlow Meets)
Sponsored
Sponsored
View Detailed Profile
TensorFlow Hub (TensorFlow Dev Summit 2018)

TensorFlow Hub (TensorFlow Dev Summit 2018)

Andrew Gasparovic and Jeremiah Harmsen dicuss TF

TensorFlow Hub for real world impact | Session

TensorFlow Hub for real world impact | Session

TensorFlow

Sponsored
TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018

Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)

Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)

Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).

TensorFlow Lite (TensorFlow Dev Summit 2018)

TensorFlow Lite (TensorFlow Dev Summit 2018)

Sarah Sirajuddin and Andrew Selle discuss

Sponsored
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)

TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)

Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around

Searching Over Ideas (TensorFlow Dev Summit 2018)

Searching Over Ideas (TensorFlow Dev Summit 2018)

Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ...

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 ...

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 ...

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

TensorFlow Dev Summit 2018

Open Source Collaboration (TensorFlow Dev Summit 2018)

Open Source Collaboration (TensorFlow Dev Summit 2018)

Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...

Training models faster with TensorFlow Hub (TensorFlow Meets)

Training models faster with TensorFlow Hub (TensorFlow Meets)

... http://bit.ly/2uo1Csw

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