Part 1 of this guide gives instructions for training and deploying your own custom TensorFlow Lite object detection model on a Windows 10 PC. The guide is based off the tutorial in the TensorFlow ...

An example Android application using TensorFLow Lite. The demo is a sample camera app that classifies images continuously using either a quantized Mobilenet model or a floating point Inception-v3 ...

As part of the TensorFlow Lite library, the team has also released an on-device conversational model and a demo application with an example of a natural language application.

The Model Maker supports models available on the TensorFlow hub such as the EfficientNet-Lite models. In addition, it supports image classification and text classification.

Google announced new tooling for their TensorFlow Lite deep-learning framework that reduces the size of models and latency of inference. The tool converts a trained model's weights from floating ...

Given how mature TensorFlow Lite is compared to, say, the Gen AI model du jour (probably Mistral AI’s Codestral, which was released the day I wrote this), it’s worth looking at how TensorFlow ...

With TensorFlow Lite for Microcontrollers, you can run machine learning models on resource-constrained devices. Want to learn more? You can use it with Edge Impulse for speech recognition on an ...