Reference Summary: Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).

Open Source Collaboration Tensorflow Dev Summit 2018 -

Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform.

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  • Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
  • Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
  • In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform.
  • Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
  • Getting the most out of Machine Learning models requires careful tuning of many knobs.

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Open Source Collaboration (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 Highlights
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
Eager Execution (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Applied AI at The Coca-Cola Company (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 Dev Summit 2018 Highlights

TensorFlow Dev Summit 2018 Highlights

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

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 Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018 - Livestream

Read more details and related context about TensorFlow Dev Summit 2018 - Livestream.

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

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 ...

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 ...

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

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)

In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ...