Date: March 19, 2020
Google is building the machine learning library from the Scratch
Google, today launched the developer preview of TensorFlow Lite for both Android and iOS platforms. TensorFlow is an open-source library for dataflow programming and machine learning such as neural networks. Back in I/O 2017 the Android owner announced that it was working on the new version of the TensorFlow from the scratch for smartphones.
Starting from today, the newly built machine learning library is available as a developer preview version for both iOS and Android app developers according to the latest Google news. The new lightweight machine learning tool for the smartphone is quoted as the “evolution of TensorFlow” by the company. Google is building the TensorFlow Lite to let app developers simply integrate more advanced machine learning to smartphone and embedded devices. “crucial step toward enabling hardware-accelerated neural network processing across Android’s diverse silicon ecosystem.” tweeted by Android engineering vice president Dave Burke.
TensorFlow Lite dev preview now available: https://t.co/CmkhMQWnJg. A crucial step toward enabling hardware-accelerated neural network processing across Android's diverse silicon ecosystem. — Dave Burke (@davey_burke) November 14, 2017
The search giant cleared that the focus is not to train the models for advanced machine learning, but to bring the low-latency interference capabilities from machine learning models to less-sturdy devices. However, the product is still in the development phase the developer preview is to just give the taste of a lightweight library to the developers. According to Google, the TensorFlow Lite is being designed to optimize and work on the performance of models such as MobileNet, Inception V3, Smart Reply and the library also supports the Android Neural Network API. Along with the aim to enhance the model's performance, TensorFlow is also redesigned to get key features such as Lightweight, cross-platform and fast.
“With this developer preview, we have intentionally started with a constrained platform to ensure performance on some of the most important common models,” posted the TensorFlow team. “We plan to prioritize future functional expansion based on the needs of our users. The goals for our continued development are to simplify the developer experience, and enable model deployment for a range of mobile and embedded devices.” Once the complete library will be available for the developers, it will help a developer in app development equipped with smarter machine learning. You can also check the TensorFlow Lite document released by the company while we will keep you updated with all the latest Google news and happenings.
Quordle Today: Hints & Answers for July 27, 2024 (Saturday)
Here are your hints and answers for Quordle today. Get our help to solve this entire word puzzle.
NYT Connections Today Game #412: Hints & Answers for July 27
Explore the daily Hints and Answers for NYT Connections. Use these hints to overcome daily word challenges and improve your vocabulary.
NYT Wordle Today: Hints and Answers for July 27, 2024
Looking for Hints and Answers for today’s NYT Wordle? Beat your daily Wordle challenge and strengthen your vocabulary game with these hints.
OpenAI’s AI Search Engine SearchGPT Changes Everything
With the launch of AI-powered SearchGPT, OpenAI is entering into direct rivalry with the age-old search engine leader Google.