Media Summary: We have seen tremendous advances in many different areas of machine learning. The use of Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ...

Tensorflow Dev Summit 2018 Recap Video - Detailed Analysis & Overview

We have seen tremendous advances in many different areas of machine learning. The use of Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ... Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ...

Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Derek Murray discusses tf.data, the recommended API for building input pipelines in This talk presents a profiler that Google internally uses to investigate TF performance on platforms including GPU, TPU, and CPU.

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TensorFlow Dev Summit 2018 Recap Video
TensorFlow Dev Summit 2018 Highlights
Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
Real-World Robot Learning (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
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TensorFlow Dev Summit 2018 Recap Video

TensorFlow Dev Summit 2018 Recap Video

TensorFlow Dev Summit 2018 Recap Video

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

Machine Learning in JavaScript (TensorFlow Dev Summit 2018)

Machine Learning in JavaScript (TensorFlow Dev Summit 2018)

Nikhil Thorat and Daniel Smilkov discuss

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

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 ...

Sponsored
Real-World Robot Learning (TensorFlow Dev Summit 2018)

Real-World Robot Learning (TensorFlow Dev Summit 2018)

Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ...

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 ...

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 Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)

In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ...

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).

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

Performance profiling in TF 2 (TF Dev Summit '20)

Performance profiling in TF 2 (TF Dev Summit '20)

This talk presents a profiler that Google internally uses to investigate TF performance on platforms including GPU, TPU, and CPU.