Definitions for Neural Network
neu·ral net·work

Princeton's WordNetRate this definition:0.0 / 0 votes

1. neural network, neural netnoun

   computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error

2. neural network, neural netnoun

   any network of neurons or nuclei that function together to perform some function in the body

WiktionaryRate this definition:0.0 / 0 votes

1. neural networknoun

   A real or virtual computer system designed to emulate the brain in its ability to "learn" to assess imprecise data.

2. neural networknoun

   Any network of neurons etc that function together to achieve a common purpose.

WikipediaRate this definition:0.0 / 0 votes

1. Neural network

   A neural network is a network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus a neural network is either a biological neural network, made up of real biological neurons, or an artificial neural network, for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled as weights. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from experience can occur within networks, which can derive conclusions from a complex and seemingly unrelated set of information.

ChatGPTRate this definition:0.0 / 0 votes

1. neural network

   A neural network, also known as artificial neural network, is a subset of machine learning algorithms modeled after the human brain. It consists of interconnected layers of nodes, or "neurons", which process information using dynamic state responses to input stimuli. These networks can learn from experience, adapt to new inputs, and perform tasks that involve pattern recognition, prediction, decision-making, and visualization.

WikidataRate this definition:3.0 / 1 vote

1. Neural network

   The term neural network was traditionally used to refer to a network or circuit of biological neurons. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus the term may refer to either biological neural networks, made up of real biological neurons, or artificial neural networks, for solving artificial intelligence problems. Unlike von Neumann model computations, artificial neural networks do not separate memory and processing and operate via the flow of signals through the net connections, somewhat akin to biological networks. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset.

Matched Categories

1. • Computer Architecture
   • Reticulum

How to pronounce Neural Network?

1. Alex

   US English

   David

   US English

   Mark

   US English

   Daniel

   British

   Libby

   British

   Mia

   British

   Karen

   Australian

   Hayley

   Australian

   Natasha

   Australian

   Veena

   Indian

   Priya

   Indian

   Neerja

   Indian

   Zira

   US English

   Oliver

   British

   Wendy

   British

   Fred

   US English

   Tessa

   South African

How to say Neural Network in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of Neural Network in Chaldean Numerology is: 8

2. Pythagorean Numerology

   The numerical value of Neural Network in Pythagorean Numerology is: 6

Examples of Neural Network in a Sentence

1. Simon Portegies Zwart:

   We now know that our method works, but we would certainly like to delve deeper in the research with a better neural network and with more input, the tricky part is that small disruptions in the orbit calculations can lead to major changes in the conclusions.

2. Ichiro Kobayashi:

   We aim to understand how the brain represents information about the real world, toward such a goal, we demonstrated that our algorithm can model and read out perceptual contents in the form of sentences from human brain activity. To do this, we modified an existing network model that could generate sentences from images using a deep neural network, a model of visual system, followed by an RNN (recurrent neural network), a model that can generate sentences. Specifically, using our dataset of movies and movie-evoked brain activity, we trained a new model that could infer activation patterns of DNN from brain activity.

References

1. ^ Princeton's WordNet
   http://wordnetweb.princeton.edu/perl/webwn?s=Neural Network
2. ^ Wiktionary
   https://en.wiktionary.org/wiki/Neural_Network
3. ^ Wikipedia
   https://en.wikipedia.org/wiki/Neural_Network
4. ^ ChatGPT
   https://chat.openai.com
5. ^ Wikidata
   https://www.wikidata.org/w/index.php?search=Neural Network