Media Summary: Edd Wilder-James announces a new set of mailing lists to help communication and Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Chris Lattner and Richard Wei unveil Swift for

Open Source Collaboration Tensorflow Dev - Detailed Analysis & Overview

Edd Wilder-James announces a new set of mailing lists to help communication and Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Chris Lattner and Richard Wei unveil Swift for Sarah Sirajuddin and Andrew Selle discuss Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... David Airlie One of the biggest uses for GPU compute is AI/Machine ...

Derek Murray discusses tf.data, the recommended API for building input pipelines in Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to

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Open Source Collaboration (TensorFlow Dev Summit 2018)
TensorFlow Open Source Community And Collaboration  (TF Dev Summit '19)
Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow in 100 Seconds
TensorFlow Hub (TensorFlow Dev Summit 2018)
"Tensorflow on open source GPUs" - David Airlie (LCA 2020)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Contributing to Open Source Can Change Your Life - Here’s How to Do It
Eager Execution (TensorFlow Dev Summit 2018)
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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

TensorFlow Open Source Community And Collaboration  (TF Dev Summit '19)

TensorFlow Open Source Community And Collaboration (TF Dev Summit '19)

TensorFlow

Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets)

Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets)

TensorFlow

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).

Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)

Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)

Chris Lattner and Richard Wei unveil Swift for

TensorFlow Lite (TensorFlow Dev Summit 2018)

TensorFlow Lite (TensorFlow Dev Summit 2018)

Sarah Sirajuddin and Andrew Selle discuss

TensorFlow in 100 Seconds

TensorFlow in 100 Seconds

TensorFlow

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 on open source GPUs" - David Airlie (LCA 2020)

"Tensorflow on open source GPUs" - David Airlie (LCA 2020)

David Airlie https://lca2020.linux.org.au/schedule/presentation/27/ One of the biggest uses for GPU compute is AI/Machine ...

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

Contributing to Open Source Can Change Your Life - Here’s How to Do It

Contributing to Open Source Can Change Your Life - Here’s How to Do It

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Eager Execution (TensorFlow Dev Summit 2018)

Eager Execution (TensorFlow Dev Summit 2018)

Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to

Contribute to the TensorFlow community

Contribute to the TensorFlow community

TensorFlow