TensorFlow is a machine learning system that powers services like Google Photos, Google Translates and serves as the backbone of features such as search and Smart Reply. The company uses TensorFlow to improve its products by training its neural networks faster but it’s looking for a bit of help and that’s why Google has decided to make TensorFlow open source. This will allow the community to tap into this technology and allow them to contribute through working code and not just research papers.
Google hopes that this decision will allow everyone from hobbyists, engineers to academic researchers to exchange ideas much more quickly. That will help accelerate research on machine learning and ultimately improve technology for everybody.
TensorFlow is a very scalable machine learning system, it can run on a single smartphone or across thousands of computers in data centers. Google uses it for a variety of tasks such as speech recognition in the Google app to search in Google Photos. TensorFlow is much smarter, faster and flexible than this part of Google’s old machine learning system.
The company acknowledges that machine learning is still in its infancy and that computers are still not able to do what a four-year old can do effortlessly, like knowing the name of a dinosaur after only seeing a couple of pictures, but that’s the entire idea with this move. To further the development and improvement of machine learning systems by enabling the community to tap into TensorFlow and contribute to the future of machine learning.
Filed in . Read more about Google and Machine Learning. Source: googleblog.blogspot