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- Dictionaryneural network
noun
- 1. a computer system modelled on the human brain and nervous system.
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A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Jan 3, 2024 · Neural Networks are computational models that mimic the complex functions of the human brain. The neural networks consist of interconnected nodes or neurons that process and learn from data, enabling tasks such as pattern recognition and decision making in machine learning.
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models . While individual neurons are simple, many of them together in a network can perform complex tasks.
A neural network is a machine learning ( ML) model designed to mimic the function and structure of the human brain. Neural networks are intricate networks of interconnected nodes, or neurons, that collaborate to tackle complicated problems.
A neural network, or artificial neural network, is a type of computing architecture used in advanced AI. Learn about the different types of neural networks.
Jun 17, 2019 · The article was designed to be a detailed and comprehensive introduction to neural networks that is accessible to a wide range of individuals: people who have little to no understanding of how a neural network works as well as those who are relatively well-versed in their uses, but perhaps not experts.
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains.
Nov 27, 2023 · A neural network is a method of artificial intelligence, a series of algorithms that teach computers to recognize underlying relationships in data sets and process the data in a way that imitates the human brain.
Neural Networks (NN) are computational models inspired by the human brain's interconnected neuron structure. They are fundamental to many machine learning algorithms today, allowing computers to recognize patterns and make decisions based on data.
Apr 14, 2017 · Neural nets are a means of doing machine learning, in which a computer learns to perform some task by analyzing training examples. Usually, the examples have been hand-labeled in advance.
