Sentences with phrase «deep neural net»

Deep neural net - based machine learning algorithms to process messages from voice - based devices to understand end - user input and take action;

What makes today's deep neural nets at once powerful and capricious is their ability to find patterns in huge amounts of data.

«[Deep neural nets] can be really good but they can also fail in mysterious ways,» says Anders Sandberg, a senior research fellow at the University of Oxford's Future of Humanity Institute.

Not exact matches

Almost every deep - learning product in commercial use today uses «supervised learning,» meaning that the neural net is trained with labeled data (like the images assembled by ImageNet).

With deep learning, organizations can feed enormous quantities of data into so - called neural nets designed to loosely mimic the way the human brain understands information.

With deep learning, researchers can feed huge amounts of data into software systems called neural nets that learn to recognize patterns within the vast information faster than humans.

For instance, an experimental neural net at Mount Sinai called Deep Patient can forecast whether a patient will receive a particular diagnosis within the next year, months before a doctor would make the call.

«Deep» nets contain anywhere from three to hundreds of layers, the last of which distills all of this neural activity into a singular prediction: This is a picture of a cat, for example.

The trained neural nets performed with 90 % and 96 % accuracy respectively (or 94 % and 99 % if the most challenging specimens were discarded), confirming that deep learning is a useful and important technology for the future analysis of digitized museum collections.

Although neural net deep - learning AI interactions differ from the Socratic method, the result in large part should be the same; an accelerated learning of how to objectively discern the best legal options, which will provide a stronger foundation for better lawyering.

When it comes to legal research, it would appear a black box problem also isn't 100 % avoidable, but in my opinion, new artificial intelligent methods being developed today, especially those using deep learning and neural nets, have the best chance of solving our legal research woes, especially considering its plummeting recovery rates, but then again, I'm biased... I'm one of the founders of ROSS Intelligence after all.

It's the city where ROSS was born, it's a city that has always supported us and it's the city where work on deep learning and neural nets was pioneered.

Our neural net - based ML platform has better training performance and increased accuracy compared to other large scale deep learning systems.