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…

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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…

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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…

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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…

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International Devcamp 2023 in Bavaria Germany september 2023

The association of the German speaking Dolibarr community organizesan international Dolibarr Devcamp in Pöttmes Germany. We are aiming to gather the Dolibarr Developer Community to this event. One of the main tasks is to connect developers, support them how to best work together and participate in Dolibarr development and maintenance.…

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On-device fetal ultrasound assessment with TensorFlow Lite

Posted by Angelica Willis and Akib Uddin, Health AI Team, Google Research How researchers at Google are working to expand global access to maternal healthcare with the help of AI TensorFlow Lite* is an open-source framework to run machine learning models on mobile and edge devices. It’s popular for use…

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Visualizing and interpreting decision trees

Posted by Terence Parr, Google Decision trees are the fundamental building block of Gradient Boosted Trees and Random Forests, the two most popular machine learning models for tabular data. To learn how decision trees work and how to interpret your models, visualization is essential. TensorFlow recently published a new tutorial…

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