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 ...

Tensorflow Lite 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).
  • Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
  • Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around

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TensorFlow Lite (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
Distributed TensorFlow (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
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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).

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

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 ...

TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)

TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)

Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around

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 ...

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.

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 ...

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

Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)

Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)

Read more details and related context about Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018).