Originally developed by the Google team and currently distributed under an open source Apache 2 license, TensorFlow enables machine learning algorithms to be exploited on a single machine or mobile device.
That’s right! You got that right! Big G has finally unveiled TensorFlow, the platform on which many of the services offered by the company are based. For example, among the most famous and used ones we find Google Maps, (now also available for offline consultation), Google Now (the voice assistant that exploiting the knowledge graph is able to answer users’ questions and give advice), Google Photos (Google’s stand-alone service dedicated to online storage of photos and videos and able to guarantee unlimited space to users) and finally Google Translate (Google’s free online service that instantly translates text and web pages). In fact, with the release of TensorFlow, Google wanted to show the world its concrete achievements in the field of machine learning, giving everyone the chance to use the platform in the hope that the community will help improve it by accelerating research on machine learning algorithms. What makes this platform so special?
Originally developed by the Google team and currently distributed under an open source Apache 2.0 license, TensorFlow allows machine learning, or machine learning, algorithms to be leveraged on a single machine or mobile device. And this is precisely its winning feature: as artificial intelligence, TensorFlow is an incredibly powerful and useful digital system because it is highly scalable.
TensorFlow: what’s special about it
Indeed, Big G’s machine learning engine is capable of autonomously acquiring knowledge by collecting, analyzing and processing data accumulated over time. This allows it to better and better recognize significant patterns and elements and then improve its future performance. According to Mountain View, TensorFlow would have already led to significant advances in the development of machine learning algorithms, and many of the technologies currently available should be attributed to it. But the challenge should be continued by sharing it with the community: TensorFlow could even push the accelerator on Artificial Intelligence and advance it further if developers, researchers, and engineers around the world decided to contribute to this open source project, using this technology to enable everyone to take the next leap forward and reach a higher evolutionary level. Google’s decision to devote itself to the development of software that can mimic the cognitive processes of humans dates back to 2011: with DistBelief, its first machine learning system, Big G began its research aimed at generating algorithms that could enable machines to learn on their own. But it was only with TensorFlow, or the second generation of Google’s machine learning systems, that the company began to have its first relevant results, and this was mainly because of the scalability and application possibilities. Despite the progress and use of the platform in various Google services, TensorFlow still has a lot of room for improvement and that is precisely why the company decided to put the development of this technology in everyone’s hands.