Media Summary: QCon San Francisco, the international software conference, returns November 17-21, 2025. Join senior software practitioners ... 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 ...

Swift For Tensorflow Tfiws Tensorflow Dev Summit 2018 - Detailed Analysis & Overview

QCon San Francisco, the international software conference, returns November 17-21, 2025. Join senior software practitioners ... 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 ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). 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 ...

Derek Murray discusses tf.data, the recommended API for building input pipelines in In this live-chat we'll expand over our previous blog post, showing how building a real model looks like and how well it performs.

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Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
Swift for TensorFlow (TF World '19)
Swift for TensorFlow (Google I/O'19)
Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19)
TensorFlow Dev Summit 2018 - Livestream
Swift for TensorFlow (TensorFlow Meets)
Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)
Swift for Tensorflow
Eager Execution (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
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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 (TF World '19)

Swift for TensorFlow (TF World '19)

Swift for TensorFlow

Swift for TensorFlow (Google I/O'19)

Swift for TensorFlow (Google I/O'19)

Swift for TensorFlow

Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19)

Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19)

TensorFlow

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018 - Livestream

TensorFlow Dev Summit 2018

Swift for TensorFlow (TensorFlow Meets)

Swift for TensorFlow (TensorFlow Meets)

It's still the early days for

Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

Swift for TensorFlow

Swift for Tensorflow

Swift for Tensorflow

QCon San Francisco, the international software conference, returns November 17-21, 2025. Join senior software practitioners ...

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

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 ...

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).

Keynote (TensorFlow Dev Summit 2018)

Keynote (TensorFlow Dev Summit 2018)

TensorFlow Dev Summit 2018

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 ...

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

A deeper dive into Swift for Tensorflow | Webinar

A deeper dive into Swift for Tensorflow | Webinar

In this live-chat we'll expand over our previous blog post, showing how building a real model looks like and how well it performs.

The Power of Swift for Machine Learning (TensorFlow Meets)

The Power of Swift for Machine Learning (TensorFlow Meets)

On this episode of