Videos from the TensorFlow User Group Summit in India
Community · TensorFlow User Groups
Videos from the TensorFlow User Group Summit in India

Posted by Siddhant Agarwal and Biswajeet Mallik, Program Managers

A new YouTube show: TensorFlow.js Community Show & Tell
Community · TensorFlow.js
A new YouTube show: TensorFlow.js Community Show & Tell

Posted by Jason Mayes, Developer Relations Engineer for TensorFlow.js

Using Model Card Toolkit for TF Model Transparency
Responsible AI · TensorFlow Core
Using Model Card Toolkit for TF Model Transparency

Posted by Karan Shukla, Software Engineer, Google Research

Accelerating TensorFlow Performance on Mac
Community
Accelerating TensorFlow Performance on Mac

Posted by Pankaj Kanwar and Fred Alcober

Applying MinDiff to Improve Model Fairness
Responsible AI · TensorFlow Core
Applying MinDiff to Improve Model Fairness

Posted by Summer Misherghi and Thomas Greenspan, Software Engineers, Google Research Last December, we open-sourced Fairness Indicators, a platform that enables sliced evaluation of machine learning model performance. This type of responsible evaluation is a crucial first step toward avoiding bias as it allows us to determine how our models are working for a wide variety of users. When we do id…

Characterizing quantum advantage in machine learning by understanding the power of data
TF Quantum
Characterizing quantum advantage in machine learning by understanding the power of data

Posted by Hsin-Yuan Huang, Google/Caltech, Michael Broughton, Google, Jarrod R. McClean, Google, Masoud Mohseni, Google. Data drives machine learning. Large scale research and production ML both depend on high volume and high quality sources of data where it is often the case that more is better. The use of training data has enabled machine learning algorithms to achieve better performance than …

TensorFlow Community Spotlight program update
Community
TensorFlow Community Spotlight program update

Posted by Marcus Chang, TensorFlow Program Manager

New Coral APIs and tools for AI at the edge
New Coral APIs and tools for AI at the edge

Posted by Carlos Mendonça, Coral Fall has finally arrived and with it a new release of Coral's C++ and Python APIs and tools, along with new models optimized for the Edge TPU and further support for TensorFlow 2.0-based workflows. Coral is a complete toolkit to build products with local AI. Our on-device inferencing capabilities allow you to build products that are efficient, private, fast…

Iris landmark tracking in the browser with MediaPipe and TensorFlow.js
TensorFlow.js
Iris landmark tracking in the browser with MediaPipe and TensorFlow.js

Posted by Ann Yuan and Andrey Vakunov, Software Engineers at Google

How CEVA uses TensorFlow Lite for Always-On Speech Recognition on the Edge
Community · TensorFlow Lite
How CEVA uses TensorFlow Lite for Always-On Speech Recognition on the Edge

A guest article by Ido Gus of CEVA

 How NetEase Yanxuan uses TensorFlow for customer service chat bots
Community
How NetEase Yanxuan uses TensorFlow for customer service chat bots

Posted by Liu Huiyun, a senior algorithm engineer at NetEase

Neural Structured Learning in TFX
TFX
Neural Structured Learning in TFX

Posted by Arjun Gopalan, Software Engineer, Google Research Edited by Robert Crowe, TensorFlow Developer Advocate, Google Research

How TensorFlow docs uses Jupyter notebooks
Community · TensorFlow Core
How TensorFlow docs uses Jupyter notebooks

Posted by Billy Lamberta, TensorFlow Team

 Optimizing TensorFlow Lite Runtime Memory
TensorFlow Lite
Optimizing TensorFlow Lite Runtime Memory

Posted by Juhyun Lee and Yury Pisarchyk, Software Engineers

Boosting quantum computer hardware performance with TensorFlow
Community · Quantum
Boosting quantum computer hardware performance with TensorFlow

A guest article by Michael J. Biercuk, Harry Slatyer, and Michael Hush of Q-CTRL

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)
TFX
Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

Posted by Konstantinos (Gus) Katsiapis on behalf of the TFX Team

 Bringing the Mona Lisa Effect to Life with TensorFlow.js
Community · TensorFlow.js
Bringing the Mona Lisa Effect to Life with TensorFlow.js

A guest post by Emily Xie, Software Engineer

 Introducing TensorFlow Recommenders
TensorFlow Core · TensorFlow Recommenders
Introducing TensorFlow Recommenders

Posted by Maciej Kula and James Chen, Google BrainFrom recommending movies or restaurants to coordinating fashion accessories and highlighting blog posts and news articles, recommender systems are an important application of machine learning, surfacing new discoveries and helping users find what they love.

What’s new in TensorFlow Lite for NLP
TensorFlow Lite
What’s new in TensorFlow Lite for NLP

Posted by Tian Lin, Yicheng Fan, Jaesung Chung and Chen Cen

TensorFlow Lite has been widely adopted in many applications to provide machine learning features on edge devices such as mobile phones, microcontroller units, and Edge TPUs. Among all popular applications that make people’s life easier and more productive, Natural Language Understanding is one of the key areas that attracts much attenti…

Introduction to TFLite On-device Recommendation
TensorFlow Lite
Introduction to TFLite On-device Recommendation

Posted by Ellie Zhou, Tian Lin, Cong Li, Shuangfeng Li and Sushant Prakash