Bringing Machine Learning to every developer’s toolbox
Google Article
Announcements · Developers
Bringing Machine Learning to every developer’s toolbox

Posted by Laurence Moroney and Josh Gordon for the TensorFlow team

Profiling XNNPACK with TFLite
Google Article
performance · profiling
Profiling XNNPACK with TFLite

Posted by Alan Kelly, Software Engineer

Adding Quantization-aware Training and Pruning to the TensorFlow Model Garden
Google Article
TensorFlow Core · TensorFlow Lite
Adding Quantization-aware Training and Pruning to the TensorFlow Model Garden

Posted by Jaehong Kim, Rino Lee, and Fan Yang, Software Engineers

OCR in the browser using TensorFlow.js
Community · TensorFlow.js
OCR in the browser using TensorFlow.js

A guest post by Charles Gaillard, Mindee

Memory-efficient inference with XNNPack weights cache
Google Article
TensorFlow Lite
Memory-efficient inference with XNNPack weights cache

Posted by Zhi An Ng and Marat Dukhan, Google

New documentation on tensorflow.org
Google Article
TensorFlow Core
New documentation on tensorflow.org

Posted by the TensorFlow team

5 steps to go from a notebook to a deployed model
Google Article
Community · GCP
5 steps to go from a notebook to a deployed model

Posted by Nikita Namjoshi, Google Cloud Developer Advocate

Real-time SKU detection in the browser using TensorFlow.js
Google Article
Community · TensorFlow.js
Real-time SKU detection in the browser using TensorFlow.js

Posted by Hugo Zanini, Data Product Manager

What's new in TensorFlow 2.9?
Google Article
TensorFlow Core
What's new in TensorFlow 2.9?

Posted by Goldie Gadde and Douglas Yarrington for the TensorFlow team

TensorFlow Lite for education and makers
Google Article
Coral · Education
TensorFlow Lite for education and makers

Posted by Scott Main, AIY Projects and Coral

AI and Machine Learning @ I/O Recap
Google Article
AI and Machine Learning @ I/O Recap

Posted by TensorFlow Team

Using Machine Learning to Help Protect the Great Barrier Reef in Partnership with Australia’s CSIRO
Google Article
Community
Using Machine Learning to Help Protect the Great Barrier Reef in Partnership with Australia’s CSIRO

Posted by Megha Malpani, Google Product Manager and Ard Oerlemans, Google Software Engineer

On-device Text-to-Image Search with TensorFlow Lite Searcher Library
Google Article
TensorFlow Lite
On-device Text-to-Image Search with TensorFlow Lite Searcher Library

Posted by Zonglin Li, Lu Wang, Maxime Brénon, and Yuqi Li, Software Engineers

Portrait Depth API: Turning a Single Image into a 3D Photo with TensorFlow.js
Google Article
TensorFlow.js
Portrait Depth API: Turning a Single Image into a 3D Photo with TensorFlow.js

Posted by Ruofei Du, Yinda Zhang, Ahmed Sabie, Jason Mayes, Google.

Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development
Google Article
Community · TFX
Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development

Posted by Ukjae Jeong, Gyoung-yoon Yoo, and Myeonghyeon Song from Karrot

Video Classification on Edge Devices with TensorFlow Lite and MoViNet
Google Article
TensorFlow Lite
Video Classification on Edge Devices with TensorFlow Lite and MoViNet

Posted by Dan Kondratyuk, Liangzhe Yuan, Google Research and Khanh LeViet, TensorFlow Developer Relations

How to migrate from BoostedTrees Estimators to TensorFlow Decision Forests
Google Article
TensorFlow Core
How to migrate from BoostedTrees Estimators to TensorFlow Decision Forests

Posted by Mathieu Guillame-Bert and Josh Gordon for the TensorFlow team

How LinkedIn Personalized Performance for Millions of Members using TensorFlow.js
Community · TensorFlow.js
How LinkedIn Personalized Performance for Millions of Members using TensorFlow.js

A guest post by LinkedInMark Pascual, Sr. Staff Engineer Nitin Pasumarthy, Staff Engineer

Intro mPOD DxTrack: A low-cost healthcare device using TensorFlow Lite Micro
Community
Intro mPOD DxTrack: A low-cost healthcare device using TensorFlow Lite Micro

A guest post by Jeffrey Ly, CEO & Joanna Ashby, CMO of mPOD, Inc. mPOD is a NIH-funded pre-seed startup headquartered out of Johnson & Johnson’s Innovation (JLABS) in New York City. In this article, we’d like to share with you a hardware device we have developed independently at mPOD leveraging TensorFlow Lite Micro (TFLM) as a core technology, called DxTrack.

Accelerating TensorFlow Lite Micro on Cadence Audio Digital Signal Processors
Google Article
TensorFlow Lite · tinyML
Accelerating TensorFlow Lite Micro on Cadence Audio Digital Signal Processors

Posted by Raj Pawate (Cadence) and Advait Jain (Google)