TensorFlow Lite est un ensemble d'outils conçus pour aider les développeurs à exécuter leurs modèles sur des appareils mobiles, intégrés et IoT afin d'apporter le machine learning sur …

Dec 19, 2025 · Built on the battle-tested foundation of Tensor Flow Lite LiteRT isn't just new; it's the next generation of the world's most widely deployed machine learning runtime. It powers …

4 days ago · TensorFlow Lite Model File (.tflite): A lightweight platform-independent model format based on FlatBuffers, optimized for low latency, high performance and minimal memory usage.

TensorFlow Lite provides all the tools you need to convert and run TensorFlow models on mobile, embedded, and IoT devices. The following guide walks through each step of the developer …

TensorFlow Lite, now named LiteRT, is still the same high-performance runtime for on-device AI, but with an expanded vision to support models authored in PyTorch, JAX, and Keras.

LiteRT continues the legacy of TensorFlow Lite as the trusted, high-performance runtime for on-device AI. LiteRT features advanced GPU/NPU acceleration, delivers superior ML & GenAI …

In May 2017, Google announced TensorFlow Lite as a software stack to support machine learning models for mobile and embedded devices, and in November 2017, provided the developer …

La bibliothèque de tâches TensorFlow Lite contient un ensemble d'outils puissants et Bibliothèques spécifiques aux tâches permettant aux développeurs d'applications de créer des …

Aug 5, 2023 · Avec TensorFlow Lite, les développeurs peuvent facilement intégrer des techniques d'apprentissage par transfert, permettant ainsi d'affiner le modèle sur l'appareil lui-même.

Sep 14, 2024 · TensorFlow Lite is a set of tools that help convert and optimize TensorFlow models to run on mobile and edge devices. It's currently running on more than 4 billion devices!