Essential Summary: Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...

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Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...

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Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Getting the most out of Machine Learning models requires careful tuning of many knobs.

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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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  • We have seen tremendous advances in many different areas of machine learning.
  • Derek Murray discusses tf.data, the recommended API for building input pipelines in
  • Getting the most out of Machine Learning models requires careful tuning of many knobs.
  • Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...

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Media Gallery

TensorFlow Dev Summit 2018 Highlights
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
Open Source Collaboration (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 Recap Video
Searching Over Ideas (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
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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

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.

Open Source Collaboration (TensorFlow Dev Summit 2018)

Open Source Collaboration (TensorFlow Dev Summit 2018)

Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...

TensorFlow Dev Summit 2018 Recap Video

TensorFlow Dev Summit 2018 Recap Video

Read more details and related context about TensorFlow Dev Summit 2018 Recap Video.

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 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 ...

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).

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

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