Quick Summary: Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around

Tensorflow Hub Tensorflow Dev Summit 2018 -

Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Getting the most out of Machine Learning models requires careful tuning of many knobs.

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  • Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
  • Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
  • Getting the most out of Machine Learning models requires careful tuning of many knobs.
  • Derek Murray discusses tf.data, the recommended API for building input pipelines in
  • Magenta explores the role of ML in the process of creating art and music.

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TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Hub for real world impact | Session
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
TensorFlow Lite (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
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TensorFlow Hub (TensorFlow Dev Summit 2018)

TensorFlow Hub (TensorFlow Dev Summit 2018)

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

TensorFlow Hub for real world impact | Session

TensorFlow Hub for real world impact | Session

Read more details and related context about TensorFlow Hub for real world impact | Session.

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.

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).

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 ...

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

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

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 ...

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

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