Main Takeaway: Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...

Project Magenta 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 ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform.

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  • Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...
  • Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
  • In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform.
  • Derek Murray discusses tf.data, the recommended API for building input pipelines in
  • We have seen tremendous advances in many different areas of machine learning.

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Reference Gallery

Project Magenta (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Music and AI in the Browser with TensorFlow js and Magenta js โ€“ Tero Parviainen
TensorFlow Dev Summit 2018 - Livestream
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 Highlights
Distributed TensorFlow (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
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Project Magenta (TensorFlow Dev Summit 2018)

Project Magenta (TensorFlow Dev Summit 2018)

Read more details and related context about Project Magenta (TensorFlow Dev Summit 2018).

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

Music and AI in the Browser with TensorFlow js and Magenta js โ€“ Tero Parviainen

Music and AI in the Browser with TensorFlow js and Magenta js โ€“ Tero Parviainen

Read more details and related context about Music and AI in the Browser with TensorFlow js and Magenta js โ€“ Tero Parviainen.

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018 - Livestream

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

TensorFlow Lite (TensorFlow Dev Summit 2018)

TensorFlow Lite (TensorFlow Dev Summit 2018)

Read more details and related context about TensorFlow Lite (TensorFlow Dev Summit 2018).

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

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)

Read more details and related context about Keynote (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 ...

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 ...