Google new self learning system allows you to to talk to the Google App, read sign in Russian using Google translate and instantly recognise pictures. Now all this is possible with a new machine learning system which Google calls TensorFlow. TensorFlow is refuted to be faster, smarter, and more flexible than Google’s old system, it can be adapted much more easily to new products and research. Its a highly scalable machine learning system—it can run on a single smartphone or across thousands of computers in datacenters. The system is used by the Mountain View firm for everything from speech recognition in the Google app, to Smart Reply in Inbox, to search in Google Photos. The ability build and train neural nets up to five times faster than the first-generation system, mean it can be used it to improve Google products much more quickly.
| With its potential usage, Google true to its values will open-sourcing TensorFlow. to allow the machine learning community—everyone from academic researchers, to engineers, to hobbyists—exchange ideas much more quickly, through working code rather than just research papers. Which in turn will accelerate research on machine learning, in the end making technology work better for everyone. NB: TensorFlow is for more than just machine learning. It may be useful wherever researchers are trying to make sense of very complex data—everything from protein folding to crunching astronomy data. |
Machine learning is still in its infancy—computers today still can’t do what a 4-year-old can do effortlessly, like knowing the name of a dinosaur after seeing only a couple examples, or understanding that “I saw the Grand Canyon flying to Chicago” doesn’t mean the canyon is hurtling over the city. Admittedly there is a lot work ahead but with TensorFlow there its good start.
