Topic: tensorflow lite
TensorFlow Lite gets machine learning model maker
Google has announced the TensorFlow Lite Model Maker. TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models to datasets with transfer learning. “It wraps the complex machine learning concepts with an intuitive API, so that everyone can get started without any machine learning … continue reading
SD Times news digest: Linux 4.15 not final, TensorFlow 1.5, and Cettia 1.0.0
Linus Torvalds, the creator of Linux, has announced the release of Linux 4.15 is not yet final, so he is releasing it as rc9. The update includes: arch updates and drives as well as some core networking. “I really really wanted to just release 4.15 today, but things haven’t calmed down enough for me to … continue reading
SD Times news digest: Core ML support in TensorFlow Light, Pivotal Cloud Foundry expansion, and Hazelcast joins Eclipse Foundation
Google has announced a collaboration with Apple to support Core ML in TensorFlow Lite. TensorFlow Lite is Google’s lightweight machine learning solution for mobile and embedded devices. Core ML is Apple’s machine learning framework used across Siri, camera, and quick type. This new support will allow iOS developers to use Core ML to deploy TensorFlow … continue reading
Google previews TensorFlow Lite
Google is giving developers a way to add machine learning models to their mobile and embedded devices. The company announced the developer preview of TensorFlow Lite. The new solution is a lightweight version of TensorFlow, the open-source software library for machine intelligence. “TensorFlow has always run on many platforms, from racks of servers to tiny … continue reading
