«Scaling deep learning for science: Algorithm leverages Titan to create high -
performing deep neural networks.»
Not exact matches
They use a special type of
neural network called a «
deep neural network» to do the processing — so named because its learning is
performed through a
deep layered structure inspired by the human brain.
To expand the benefits of
deep learning for science, researchers need new tools to build high -
performing neural networks that don't require specialized knowledge.
The
neural network from Google Brain — one of the search giant's
deep - learning teams — is able to
perform eight tasks, including image and speech recognition, translation and sentence analysis.
When coupled with
deep neural networks — a type of machine - learning algorithm that has demonstrated high accuracy in
performing pattern and image recognition — the devices would be able to provide continuous data collection to detect irregular heart rhythms.
In this project we used
deep neural networks (a term we will use to refer to the class of
neural networks that includes multi-layer perceptrons and recurrent
neural networks) to predict how a stock will
perform relative to the market over a one - year time horizon.