"Most people keep their model in a single machine, but we wanted to experiment with very large neural networks," says Jeff Dean, an engineer helping lead the research at Google. "If you scale up both the size of the model and the amount of data you train it with, you can learn finer distinctions or more complex features."
Friday, October 5, 2012
Google Puts Its Virtual Brain Technology to Work
Google Puts Its Virtual Brain Technology to Work: ...Google engineers published results of an experiment that threw 10 million images grabbed from YouTube videos at their simulated brain cells, running 16,000 processors across a thousand computers for 10 days without pause.
"Most people keep their model in a single machine, but we wanted to experiment with very large neural networks," says Jeff Dean, an engineer helping lead the research at Google. "If you scale up both the size of the model and the amount of data you train it with, you can learn finer distinctions or more complex features."
"Most people keep their model in a single machine, but we wanted to experiment with very large neural networks," says Jeff Dean, an engineer helping lead the research at Google. "If you scale up both the size of the model and the amount of data you train it with, you can learn finer distinctions or more complex features."
Labels:
computation,
neural simulation,
scale,
synthetic intelligence
Subscribe to:
Post Comments (Atom)
Knowing when your peak mental energy time is can help you be more productive. Here's how to make the most of your energy levels. mental health first aid
ReplyDelete