Building a board game with the TFLite plugin for Flutter

Posted by Wei Wei, Developer Advocate In our previous blog posts Building a board game app with TensorFlow: a new TensorFlow Lite reference app and Building a reinforcement learning agent with JAX, and deploying it on Android with TensorFlow Lite, we demonstrated how to train a reinforcement learning (RL) agent…

Continue ReadingBuilding a board game with the TFLite plugin for Flutter

Pre-processing temporal data made easier with TensorFlow Decision Forests and Temporian

Posted by Google: Mathieu Guillame-Bert, Richard Stotz, Robert Crowe, Luiz GUStavo Martins (Gus), Ashley Oldacre, Kris Tonthat, Glenn Cameron, and Tryolabs: Ian Spektor, Braulio Rios, Guillermo Etchebarne, Diego Marvid, Lucas Micol, Gonzalo Marín, Alan Descoins, Agustina Pizarro, Lucía Aguilar, Martin Alcala Rubi Temporal data is omnipresent in applied machine learning…

Continue ReadingPre-processing temporal data made easier with TensorFlow Decision Forests and Temporian

Distributed Fast Fourier Transform in TensorFlow

Posted by Ruijiao Sun, Google Intern - DTensor team Fast Fourier Transform is an important method of signal processing, which is commonly used in a number of ways, including speeding up convolutions, extracting features, and regularizing models. Distributed Fast Fourier Transform (Distributed FFT) offers a way to compute Fourier Transforms…

Continue ReadingDistributed Fast Fourier Transform in TensorFlow

The TensorFlow Lite Plugin for Flutter is Officially Available

Posted by Paul Ruiz, Developer Relations Engineer We're excited to announce that the TensorFlow Lite plugin for Flutter has been officially migrated to the TensorFlow GitHub account and released! Three years ago, Amish Garg, one of our talented Google Summer of Code contributors, wrote a widely used TensorFlow Lite plugin…

Continue ReadingThe TensorFlow Lite Plugin for Flutter is Officially Available

Simpleperf case study: Fast initialization of TFLite’s Memory Arena

Posted by Alan Kelly, Software Engineer One of our previous articles, Optimizing TensorFlow Lite Runtime Memory, discusses how TFLite’s memory arena minimizes memory usage by sharing buffers between tensors. This means we can run models on even smaller edge devices. In today’s article, I will describe the performance optimization of…

Continue ReadingSimpleperf case study: Fast initialization of TFLite’s Memory Arena

What’s new in TensorFlow 2.13 and Keras 2.13?

Posted by the TensorFlow and Keras Teams TensorFlow 2.13 and Keras 2.13 have been released! Highlights of this release include publishing Apple Silicon wheels, the new Keras V3 format being default for .keras extension files and many more! TensorFlow Core Apple Silicon wheels for TensorFlow TensorFlow 2.13 is the first…

Continue ReadingWhat’s new in TensorFlow 2.13 and Keras 2.13?