Topic Brief: 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 ...

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 ... 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).

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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 ...
  • Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
  • Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com.
  • Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to

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Image References

Distributed TensorFlow (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2017)
Project Magenta (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
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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 ...

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).

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 ...

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 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 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).

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 ...

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 ...

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

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