neural network

(redirected from Neural nets)
Also found in: Thesaurus, Medical, Financial, Encyclopedia.

neural network

also neural net
n.
A device or software program in which many interconnected elements process information simultaneously, adapting and learning from past patterns. Neural networks are often used to model the human brain.

neural network

n
1. (Physiology) an interconnected system of neurons, as in the brain or other parts of the nervous system
2. (Computer Science) Also called: neural net an analogous network of electronic components, esp one in a computer designed to mimic the operation of the human brain

neu′ral net′work


n.
1. any group of neurons that conduct impulses in a coordinated manner, as the assemblages of brain cells that record a visual stimulus.
2. Also called neu′ral net′. a computer model designed to simulate the behavior of biological neural networks, as in pattern recognition, language processing, and problem solving, with the goal of self-directed information processing.
[1985–90]
neural, neural network - Neural comes from Greek neuron, "nerve"; neural network can now refer to computer architecture in which processors are connected in a manner suggestive of connections between neurons.
See also related terms for network.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.neural network - computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error
computer architecture - the art of assembling logical elements into a computing device; the specification of the relation between parts of a computer system
2.neural network - any network of neurons or nuclei that function together to perform some function in the body
nervous system, systema nervosum - the sensory and control apparatus consisting of a network of nerve cells
reticulum - any fine network (especially one in the body composed of cells or blood vessels)
reticular formation, RF - a complex neural network in the central core of the brainstem; monitors the state of the body and functions in such processes as arousal and sleep and attention and muscle tone
RAS, reticular activating system - the network in the reticular formation that serves an alerting or arousal function
Translations
réseau neuronal

neural network

n (Anat) → Nervennetzwerk nt; (Comput) → neurales Netz
References in periodicals archive ?
unveiled the Nuance Lightning Engine, a new AI tool that uses 4th generation deep neural nets (DNNs) and combines voice biometrics and natural language understanding (NLU) to deliver more personalized and human-like experiences across voice channels.
New work from Los Alamos National Laboratory, the University of North Carolina at Chapel Hill, and the University of Florida is showing that artificial neural nets can be trained to encode quantum mechanical laws to describe the motions of molecules, supercharging simulations potentially across a broad range of fields.
To be able to do analog computing on these models of neural nets.
One is the rise of neural nets, a technique AI scientists beavered at for decades before enjoying key breakthroughs in the early 2010s.
The Nokia/UCL system consists of an optical transponder in which both transmitter and receiver are realised using neural nets, transmitting short data blocks to keep complexity to a minimum.
This trend is enabled by the following technologies: AI Platform as a Service (PaaS), Artificial General Intelligence, Autonomous Driving (Levels 4 and 5), Autonomous Mobile Robots, Conversational AI Platform, Deep Neural Nets, Flying Autonomous Vehicles, Smart Robots, and Virtual Assistants.
(Autonomous mobile robots, conversational AI platform, deep neural nets, autonomous vehicles, smart robots, virtual assistants.)
Jana Eggers, CEO of Nara Logics, says, "Whereas deep learning neural nets are used for optimization and pattern recognition, our technology is designed for decisions: The car recognizes that there's a ball rolling in the street, does it swerve or brake?
Add enough layers of neural nets and feedback loops, and "deep learning" emerges, a version of unsupervised machine learning so complex that even the engineers who build and program these thinking machines cannot say exactly how the information is processed in those layers.
LeCun primarily developed uses of convolutional neural nets for analyzing the visual data central to computer vision techniques.
He then decided to create an automated sorting machine powered by a neural network and wrote an article titled 'Neural Nets vs.
Leveraging advancements in Deep Neural Nets that are inspired by the way the human learns and recognizes patterns, Nuance's embedded dictation transforms the spoken word into text in split seconds without the cloud, allowing drivers to capture and send messages or notes even when the signal is spotty.

Full browser ?