TensorFlow World 2019

Highlights from TensorFlow World in Santa Clara, California 2019

By Mac Slocum

Experts explore TensorFlow 2.0's machine learning capabilities as well as the broader tools and applications of TensorFlow.

Sticker recommendations and AI-driven innovations on the Hike messaging platform

By Ankur Narang

Ankur Narang discusses sticker recommendations with multilingual support, a key innovation driven by sophisticated natural language processing (NLP) algorithms.

“Human error”: How can we help people build models that do what they expect

By Anna Roth

Anna Roth discusses human and technical factors and suggests future directions for training machine learning models.

Personalization of Spotify Home and TensorFlow

By Tony Jebara

Tony Jebara explains how Spotify improved user satisfaction by building components of the TFX ecosystem into its core ML infrastructure.

TensorFlow.js: Bringing machine learning to JavaScript

By Sandeep Gupta and Joseph Paul Cohen

Sandeep Gupta and Joseph Paul Cohen introduce the TensorFlow.js library.

TFX: An end-to-end ML platform for everyone

By Konstantinos Katsiapis and Anusha Ramesh

Konstantinos Katsiapis and Anusha Ramesh dive into the insights and approach that helped TensorFlow Extended (TFX) reach its current popularity within Alphabet.

MLIR: Accelerating AI

By Chris Lattner and Tatiana Shpeisman

Chris Lattner and Tatiana Shpeisman explain how MLIR addresses the complexity caused by software and hardware fragmentation.

TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow

By Mike Liang

Mike Liang discusses TensorFlow Hub, a platform where developers can share and discover pretrained models and benefit from transfer learning.

TensorFlow Lite: ML for mobile and IoT devices

By Jared Duke and Sarah Sirajuddin

Jared Duke and Sarah Sirajuddin explore on-device machine learning and the latest updates to TensorFlow Lite.

Accelerating ML at Twitter

By Theodore Summe

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.

The latest from TensorFlow

By Megan Kacholia

Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications.

TensorFlow World 2019 opening keynote

By Jeff Dean

Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress.

TensorFlow community announcements

By Kemal El Moujahid

Kemal El Moujahid reveals new developments for the TensorFlow community.