This repository contains for the TensorFlow Lite for Microcontrollers port supporting ADI microcontrollers and digital signal processors.

TensorFlow Lite for Microcontrollers is a framework designed for running machine learning models on microcontrollers. This repository contains precompiled TensorFlow Lite for …

Feb 29, 2024 · The aim of this post is to delve into the workflow of the TensorFlow Lite for Microcontrollers library. Apart from any preprocessing that users may need to undertake, there …

This example is designed to demonstrate the absolute basics of using TensorFlow Lite for Microcontrollers. It includes the full end-to-end workflow of training a model, converting it for …

Jul 9, 2022 · TensorFlow Lite Micro/TinyML: TensorFlow Lite for Microcontrollers is a library designed to run machine learning models on microcontrollers and other devices with only a …

Mar 31, 2024 · This is a compiled list of all the operations currently supported on TensorFlow Lite for Micro along with a short description of each operation.

The eIQ inference with TensorFlow™ Lite for Microcontrollers (TF Micro) is optimized for running machine learning models on resource constrained devices, including NXP's i.MX RT crossover …

TFLM interprets the neural network graph at runtime rather than generating C++ code to support easy pathways for upgradability, multitenancy, multithreading, and model replacement while …

TensorFlow Lite is our production ready, cross-platform framework for deploying ML on mobile devices and embedded systems

Download scientific diagram | Tensorflow Lite Workflow (adapted from Cavagnis (2023)) from publication: A Recovery-point Mechanism for Low-power Embedded ML Applications | …