Media Summary: Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Chris Lattner and Richard Wei unveil Swift for

Reconstructing Fusion Plasmas Tensorflow Dev Summit 2018 - Detailed Analysis & Overview

Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Chris Lattner and Richard Wei unveil Swift for Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Sarah Sirajuddin and Andrew Selle discuss

Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around

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Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2019 Keynote
TensorFlow Lite (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2019 Highlights #MachineLearning
Searching Over Ideas (TensorFlow Dev Summit 2018)
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Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)

Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)

Ian Langmore

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).

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 ...

Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)

Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)

Chris Lattner and Richard Wei unveil Swift for

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 ...

Sponsored
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 2019 Keynote

TensorFlow Dev Summit 2019 Keynote

Join the

TensorFlow Lite (TensorFlow Dev Summit 2018)

TensorFlow Lite (TensorFlow Dev Summit 2018)

Sarah Sirajuddin and Andrew Selle discuss

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

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

TensorFlow Dev Summit 2018

TensorFlow Dev Summit 2019 Highlights #MachineLearning

TensorFlow Dev Summit 2019 Highlights #MachineLearning

TensorFlow Dev Summit

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 ...

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