Page Summary: Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com.

Distributed Tensorflow Tensorflow Dev Summit 2017 -

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. Cruise machine learning platform team worked with Google CMLE team together to enable

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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 ...
  • Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com.
  • Cruise machine learning platform team worked with Google CMLE team together to enable
  • In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and
  • Derek Murray discusses tf.data, the recommended API for building input pipelines in

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TensorFlow at DeepMind (TensorFlow Dev Summit 2017)
Distributed Processing and Components (TensorFlow Extended)
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Highlights from the 2017 TensorFlow Dev Summit
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Distributed TensorFlow (TensorFlow Dev Summit 2017)

Distributed TensorFlow (TensorFlow Dev Summit 2017)

Read more details and related context about Distributed TensorFlow (TensorFlow Dev Summit 2017).

TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)

TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)

Read more details and related context about TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017).

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 High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)

TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)

Read more details and related context about TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017).

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 model training on Cloud AI Platform (TF Dev Summit '20)

Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)

Cruise machine learning platform team worked with Google CMLE team together to enable

TensorFlow at DeepMind (TensorFlow Dev Summit 2017)

TensorFlow at DeepMind (TensorFlow Dev Summit 2017)

In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and

Distributed Processing and Components (TensorFlow Extended)

Distributed Processing and Components (TensorFlow Extended)

Read more details and related context about Distributed Processing and Components (TensorFlow Extended).

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 ...

Highlights from the 2017 TensorFlow Dev Summit

Highlights from the 2017 TensorFlow Dev Summit

Read more details and related context about Highlights from the 2017 TensorFlow Dev Summit.