Media Summary: Brennan Saeta walks through how to optimize Chris Lattner and Richard Wei unveil Swift for Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ...

Training Performance A User S Guide To Converge Faster Tensorflow Dev Summit 2018 - Detailed Analysis & Overview

Brennan Saeta walks through how to optimize Chris Lattner and Richard Wei unveil Swift for Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... We have seen tremendous advances in many different areas of machine learning. The use of 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 Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...

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Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 Highlights
Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2019 Highlights #MachineLearning
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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

Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)

Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)

Chris Lattner and Richard Wei unveil Swift for

Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)

Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)

Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ...

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

TensorFlow Dev Summit 2018

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018

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 ...

TensorFlow Dev Summit 2018 Highlights

TensorFlow Dev Summit 2018 Highlights

We have seen tremendous advances in many different areas of machine learning. The use of

Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)

Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)

Watch this demo of the

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 ...

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

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 ...

TensorFlow Dev Summit 2019 Highlights #MachineLearning

TensorFlow Dev Summit 2019 Highlights #MachineLearning

TensorFlow Dev Summit

Real-World Robot Learning (TensorFlow Dev Summit 2018)

Real-World Robot Learning (TensorFlow Dev Summit 2018)

Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ...

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 ...

Machine Learning in JavaScript (TensorFlow Dev Summit 2018)

Machine Learning in JavaScript (TensorFlow Dev Summit 2018)

Nikhil Thorat and Daniel Smilkov discuss