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…

 Higher accuracy on vision models with EfficientNet-Lite
TensorFlow Lite
Higher accuracy on vision models with EfficientNet-Lite

Posted by Renjie Liu, Software Engineer

In May 2019, Google released a family of image classification models called EfficientNet, which achieved state-of-the-art accuracy with an order of magnitude of fewer computations and parameters. If EfficientNet can run on edge, it opens the door for novel applications on mobile and IoT where computational resources are constrained.

Exploring helpful uses for BERT in your browser with Tensorflow.js
TensorFlow.js
Exploring helpful uses for BERT in your browser with Tensorflow.js

Posted by Philip Bayer, Creative Technologist; Ping Yu, Software Engineer; and Jason Mayes, Developer Advocate

There’s a lot of exciting research happening now exploring helpful uses of BERT for language. We wondered: what if we made BERT even more accessible, right in your web browser? What possible uses might this enable?

Recap of the 2020 TensorFlow Dev Summit
TensorFlow Core
Recap of the 2020 TensorFlow Dev Summit

Posted by Laurence Moroney, Developer Advocate

Thanks to everyone who joined our virtual TensorFlow Dev Summit 2020 livestream! While we couldn’t meet in person, we hope we were able to make the event more accessible than ever.

Introducing the TensorFlow Developer Certificate!
TensorFlow Core
Introducing the TensorFlow Developer Certificate!

Posted by Alina Shinkarsky, on behalf of the TensorFlow Team

In the AI world today, more and more companies are looking to hire machine learning talent, and simultaneously, an increasing number of students and developers are looking for ways to gain and showcase their ML knowledge with formal recognition. In addition to the courses and learning resources available online, we want to help develope…

Introducing the WebAssembly backend for TensorFlow.js
TensorFlow.js
Introducing the WebAssembly backend for TensorFlow.js

Posted by Daniel Smilkov, Nikhil Thorat, and Ann Yuan, Software Engineers at Google

We’re happy to announce that TensorFlow.js now provides a WebAssembly (WASM) backend for both the browser and for Node.js! This backend is an alternative to the WebGL backend, bringing fast CPU execution with minimal code changes. This backend helps improve performance on a broader set of devices, especially lower…

Part 1: Fast, scalable and accurate NLP: Why TFX is a perfect match for deploying BERT
Community · TFX
Part 1: Fast, scalable and accurate NLP: Why TFX is a perfect match for deploying BERT

Posted by Guest author Hannes Hapke, Senior Machine Learning Engineer at SAP’s Concur Labs. Edited by Robert Crowe on behalf of the TFX team.

Transformer models, especially the BERT model, have revolutionized NLP and broken new ground on tasks such as sentiment analysis, entity extractions, or question-answer problems. BERT models allow data scientists to stand on the shoulders of giants. When th…

TensorFlow Extended (TFX): Using Apache Beam for large scale data processing
TFX
TensorFlow Extended (TFX): Using Apache Beam for large scale data processing

Posted by By Reza Rokni, Developer Advocate Google Cloud, on behalf of the TFX and Dataflow teams

Face and hand tracking in the browser with MediaPipe and TensorFlow.js
TensorFlow.js
Face and hand tracking in the browser with MediaPipe and TensorFlow.js

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

Today we’re excited to release two new packages: facemesh and handpose for tracking key landmarks on faces and hands respectively. This release has been a collaborative effort between the MediaPipe and TensorFlow.js teams within Google Research.

Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
Quantum AI
Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning

Posted by Alan Ho, Product Lead and Masoud Mohseni, Technical Lead, Google Research

Cross posted with the Google AI blog.

“Nature isn’t classical, damnit, so if you want to make a simulation of nature, you’d better make it quantum mechanical.” -Physicist Richard Feynman

Simulating the Universe in TensorFlow
Community
Simulating the Universe in TensorFlow

Guest post by Chirag Modi, François Lanusse, Mustafa Mustafa, Uroŝ Seljak from Berkeley Center for Cosmological Physics, CosmoStat Laboratory, and the Lawrence Berkeley National Laboratory

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

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…

Distributed PCA using TFX
Community · TFX
Distributed PCA using TFX

Guest post by Hamza Tahir of maiot, along with Robert Crowe and Tris Warkentin on behalf of the TFX team

How Modiface utilized TensorFlow.js in production for AR makeup try on in the browser
Community · TensorFlow.js
How Modiface utilized TensorFlow.js in production for AR makeup try on in the browser

Guest post by Jeff Houghton, Chief Operating Officer - Modiface Inc.

ModiFace has been creating artificial intelligence tech for the beauty industry for over a decade and began working on AR experiences before "Augmented Reality" was a household term. As smartphones hit the market, ModiFace quickly took advantage of the platform to switch from a virtual try on for a 2D image, to a virtu…

TensorFlow Roadshow Videos available in Spanish [Videos de la gira global de TensorFlow disponibles en español]
Spanish
TensorFlow Roadshow Videos available in Spanish [Videos de la gira global de TensorFlow disponibles en español]

Posted by Wolff Dobson, TensorFlow Developer Relations

This article is published both in Spanish and English.

VisionAir: Using Federated Learning to estimate Air Quality using the Tensorflow API for Java
Community · Developer Stories
VisionAir: Using Federated Learning to estimate Air Quality using the Tensorflow API for Java

A guest article by Harshita Diddee, Divyanshu Sharma, Shivani Jindal and Shivam Grover

Matrix Compression Operator
TensorFlow Core
Matrix Compression Operator

Posted by Rina Panigrahy

Speeding up neural networks using TensorNetwork in Keras
Speeding up neural networks using TensorNetwork in Keras

Posted by Marina Munkhoeva, PhD student at Skolkovo Institute of Science and Technology and AI Resident at Alphabet's X, Chase Roberts, Research Engineer at Alphabet's X, and Stefan Leichenauer, Research Scientist at Alphabet's X