TensorFlow User Groups: Updates from Around the World
Community
TensorFlow User Groups: Updates from Around the World

Posted by Soonson Kwon, Biswajeet Mallik, and Siddhant Agarwal, Program Managers

TensorFlow User Groups (or TFUGs, for short) are a community of curious, passionate machine learning developers and researchers around the world. TFUGs play an important role in helping developers share their knowledge and experience in machine learning, and the latest TensorFlow updates. Google and the TensorFlow tea…

Pose Animator - An open source tool to bring SVG characters to life in the browser via motion capture
TensorFlow.js
Pose Animator - An open source tool to bring SVG characters to life in the browser via motion capture

By Shan Huang, Creative Technologist, Google Partner Innovation

Galaxy Zoo: Classifying Galaxies with Crowdsourcing and Active Learning
Community
Galaxy Zoo: Classifying Galaxies with Crowdsourcing and Active Learning

A guest article by Mike Walmsley, University of Oxford

The way we do science is changing; there’s exponentially more data every day but around the same number of scientists. The traditional approach of collecting data samples, looking through them, and drawing some conclusions about each one is often inadequate.

BigTransfer (BiT): State-of-the-art transfer learning for computer vision
TensorFlow Core · TensorFlow Hub
BigTransfer (BiT): State-of-the-art transfer learning for computer vision

Posted by Jessica Yung and Joan Puigcerver

In this article, we'll walk you through using BigTransfer (BiT), a set of pre-trained image models that can be transferred to obtain excellent performance on new datasets, even with only a few examples per class.

How Hugging Face achieved a 2x performance boost for Question Answering with DistilBERT in Node.js
Community · TensorFlow.js
How Hugging Face achieved a 2x performance boost for Question Answering with DistilBERT in Node.js

A guest post by Hugging Face: Pierric Cistac, Software Engineer; Victor Sanh, Scientist; Anthony Moi, Technical Lead.

Hugging Face 🤗 is an AI startup with the goal of contributing to Natural Language Processing (NLP) by developing tools to improve collaboration in the community, and by being an active part of research efforts.

TFRT: A new TensorFlow runtime
TensorFlow Core
TFRT: A new TensorFlow runtime

Posted by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager

TensorFlow aims to make it easy for you to build and deploy ML models across many different devices. Yet, what it means to “build and deploy ML models” is not static and continues to change with increased investment in the ML ecosystem.

AI for Medicine Specialization featuring TensorFlow
Community
AI for Medicine Specialization featuring TensorFlow

Posted by Laurence Moroney, AI Advocate

I’m excited to share an important aspect of the TensorFlow community: when educators and domain experts teach and train developers how to use machine learning technology to solve important tasks for a variety of scenarios, including in health care. To this end, deeplearning.ai and Coursera have launched an “AI for Medicine” specialization using TensorFlow.

 What’s new in TensorFlow Lite from DevSummit 2020
TensorFlow Lite
What’s new in TensorFlow Lite from DevSummit 2020

Posted by Khanh LeViet, Developer Advocate on behalf of the TensorFlow Lite team
Edge devices, such as smartphones, have become more powerful each year and enable an increasing number of on-device machine learning use cases. TensorFlow Lite is the official framework for running TensorFlow model inference on edge devices. It runs on more than 4 billion active devices globally, on various platforms,…

Optimizing style transfer to run on mobile with TFLite
TensorFlow Lite
Optimizing style transfer to run on mobile with TFLite

Posted by Khanh LeViet and Luiz Gustavo Martins, Developer Advocates

Neural style transfer is an optimization technique used to take two images, a content image (such as a building) and a style image (such as artwork by an iconic painter), and blend them together so the output image looks like the content image “painted” in the style of the reference image. Today, we are excited to share a pre-tra…

Introducing the new TensorFlow Profiler
TensorFlow Core
Introducing the new TensorFlow Profiler

Posted by Anirudh Sriram, Technical Writer, and Gal Oshri, Product Manager

Performance is a key consideration of successful ML research and production solutions. Faster model training leads to faster iterations and reduced overhead. It is sometimes an essential requirement to make a particular ML solution feasible.

How TensorFlow Lite helps you from prototype to product
TensorFlow Lite
How TensorFlow Lite helps you from prototype to product

Posted by Khanh LeViet, Developer Advocate

Introducing TensorFlow Videos for a Global Audience: Spanish
Spanish
Introducing TensorFlow Videos for a Global Audience: Spanish

Posted by the TensorFlow Team

When the TensorFlow YouTube channel launched in 2018, we had a vision to inform and inspire developers around the world about what was possible with Machine Learning. With series like Coding TensorFlow showing how you can use it, and Made with TensorFlow showing inspirational stories about what people have done with TensorFlow and much more, the channel has grown gre…

 How-to deploy TensorFlow 2 Models on Cloud AI Platform
TensorFlow Core
How-to deploy TensorFlow 2 Models on Cloud AI Platform

Posted by Sara Robinson, Developer Advocate

Google Cloud’s AI Platform recently added support for deploying TensorFlow 2 models. This lets you scalably serve predictions to end users without having to manage your own infrastructure. In this post, I’ll walk you through the process of deploying two different types of TF2 models to AI Platform and use them to generate predictions with the AI Platfo…

How Airbus Detects Anomalies in ISS Telemetry Data Using TFX
Community · TFX
How Airbus Detects Anomalies in ISS Telemetry Data Using TFX

A guest post by Philipp Grashorn, Jonas Hansen and Marcel Rummens from Airbus

Airbus provides several services for the operation of the Columbus module and its payloads on the International Space Station (ISS). Columbus was launched in 2008 and is one of the main laboratories onboard the ISS. To ensure the health of the crew as well as hundreds of systems onboard the Columbus module, engineers ha…

 Quantization Aware Training with TensorFlow Model Optimization Toolkit - Performance with Accuracy
TensorFlow Lite
Quantization Aware Training with TensorFlow Model Optimization Toolkit - Performance with Accuracy

Posted by the TensorFlow Model Optimization team

 Upcoming changes to TensorFlow.js
TensorFlow.js
Upcoming changes to TensorFlow.js

Posted by Yannick Assogba, Software Engineer, Google Research

As TensorFlow.js is used more and more in production environments, our team recognizes the need for the community to be able to produce small, production optimized bundles for browsers that use TensorFlow.js. We have been laying out the groundwork for this and want to share our upcoming plans with you.

TensorFlow Lite Core ML delegate enables faster inference on iPhones and iPads
TensorFlow Lite
TensorFlow Lite Core ML delegate enables faster inference on iPhones and iPads

Posted by Tei Jeong and Karim Nosseir, Software Engineers

Introducing the Model Garden for TensorFlow 2
TensorFlow Core
Introducing the Model Garden for TensorFlow 2

Posted by Jaeyoun Kim, Technical Program Manager, and Jing Li, Software Engineer
We would like to introduce an update to the Model Garden that provides TensorFlow users a centralized place to find code examples for state-of-the-art models and reusable modeling libraries for TensorFlow 2.

 Introducing TensorFlow Videos for a Global Audience: Russian
Russian
Introducing TensorFlow Videos for a Global Audience: Russian

Posted by the TensorFlow Team

Using TensorFlow.js to deploy a radiology-based image search application for radiologists
Community · TensorFlow.js
Using TensorFlow.js to deploy a radiology-based image search application for radiologists

A guest post by Erwin John T. Carpio, MD

As a doctor and radiologist from the Philippines, I’ve always wanted to learn how to develop and apply machine learning (ML from here on) models to my field of practice. However, machine learning was like a foreign language to me when I began. I had limited programming experience, and without a formal computer science background, I felt this field would be…