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

 Easy ML mobile development with TensorFlow Lite Task Library
TensorFlow Lite
Easy ML mobile development with TensorFlow Lite Task Library

Posted by Lu Wang, Chen Cen, Arun Venkatesan, Khanh LeViet

How to Create a Cartoonizer with TensorFlow Lite
AIforArt · Community
How to Create a Cartoonizer with TensorFlow Lite

A guest post by ML GDEs Margaret Maynard-Reid (Tiny Peppers) and Sayak Paul (PyImageSearch)

 Supercharging the TensorFlow.js WebAssembly backend with SIMD and multi-threading
TensorFlow.js
Supercharging the TensorFlow.js WebAssembly backend with SIMD and multi-threading

Posted by Ann Yuan and Marat Dukhan, Software Engineers at Google

 Fast Supernovae Detection using Neural Networks
Community
Fast Supernovae Detection using Neural Networks

A guest post by Rodrigo Carrasco-Davis & The ALeRCE Collaboration, Millennium Institute of Astrophysics, Chile

 Announcing TensorFlow Lite Micro support on the ESP32
Community · TensorFlow Lite
Announcing TensorFlow Lite Micro support on the ESP32

A guest article by Vikram Dattu, Aditya Patwardhan, Kedar Sovani of Espressif Systems

Introducing TF-Coder, a tool that writes tricky TensorFlow expressions for you!
TensorFlow Core
Introducing TF-Coder, a tool that writes tricky TensorFlow expressions for you!

Posted by Kensen Shi, Google Research

When manipulating tensors, one must keep track of multiple dimensions, tensor shape and DType compatibility, and of course mathematical correctness. Additionally, there are hundreds of TensorFlow operations, and finding the right ones to use can be a challenge.

Introducing Danfo.js, a Pandas-like Library in JavaScript
Community · TensorFlow.js
Introducing Danfo.js, a Pandas-like Library in JavaScript

A guest post by Rising Odegua, Independent Researcher; Stephen Oni, Data Science Nigeria

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

Posted by the TensorFlow Team

Introducing Semantic Reactor: Explore NLP in Google Sheets
TensorFlow.js
Introducing Semantic Reactor: Explore NLP in Google Sheets

Posted by Dale Markowitz, Applied AI Engineer

Editor’s note: An earlier version of this article was published on Dale’s blog.

Optimizing Peptides in TensorFlow 2
Community
Optimizing Peptides in TensorFlow 2

A guest post by Somesh Mohapatra, Rafael Gómez-Bombarelli of MIT

Even Faster Mobile GPU Inference with OpenCL
TensorFlow Lite
Even Faster Mobile GPU Inference with OpenCL

Posted by Juhyun Lee and Raman Sarokin, Software Engineers

 Creating Sounds Of India: An on device, AI powered, musical experience built with TensorFlow
TensorFlow.js · TFX
Creating Sounds Of India: An on device, AI powered, musical experience built with TensorFlow

Posted by Anusha Ramesh, Product Manager TFX, David Zats, Software Engineer TFX, Ping Yu, Software Engineer TensorFlow.js, Lamtharn (Hanoi) Hantrakul, AI Resident Magenta

 TensorFlow Model Optimization Toolkit — Weight Clustering API
Community · TensorFlow Core
TensorFlow Model Optimization Toolkit — Weight Clustering API

A guest post by Mohamed Nour Abouelseoud, and Anton Kachatkou at Arm

We are excited to introduce a weight clustering API, proposed and contributed by Arm, to the TensorFlow Model Optimization Toolkit.

Layerwise learning for Quantum Neural Networks
Community · TF Quantum
Layerwise learning for Quantum Neural Networks

Posted by Andrea Skolik, Volkswagen AG and Leiden University

In early March, Google released TensorFlow Quantum (TFQ) together with the University of Waterloo and Volkswagen AG. TensorFlow Quantum is a software framework for quantum machine learning (QML) which allows researchers to jointly use functionality from Cirq and TensorFlow. Both Cirq and TFQ are aimed at simulating noisy intermediate-sc…

 The Future of Machine Learning is Tiny and Bright
Community · TensorFlow Lite
The Future of Machine Learning is Tiny and Bright

Posted by Josh Gordon, Developer Advocate

Train your TensorFlow model on Google Cloud using TensorFlow Cloud
TensorFlow Core
Train your TensorFlow model on Google Cloud using TensorFlow Cloud

Posted by Jonah Kohn and Pavithra Vijay, Software Engineers at Google

TensorFlow 2 MLPerf submissions demonstrate best-in-class performance on Google Cloud
TensorFlow Core
TensorFlow 2 MLPerf submissions demonstrate best-in-class performance on Google Cloud

Posted by Pankaj Kanwar, Peter Brandt, and Zongwei Zhou from the TensorFlow Team

MLPerf, the industry standard for measuring machine learning performance, has released the latest benchmark results from the MLPerf Training v0.7 round. We’re happy to share that Google’s submissions demonstrate leading top-line performance (fastest time to reach target quality), with the ability to scale up to 4,000+…

What's new in TensorFlow 2.3?
TensorFlow Core
What's new in TensorFlow 2.3?

Posted by Josh Gordon for the TensorFlow team

TensorFlow 2.3 has been released! The focus of this release is on new tools to make it easier for you to load and preprocess data, and to solve input-pipeline bottlenecks, whether you’re working on one machine, or many.