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- Dictionaryneural network
noun
- 1. a computer system modelled on the human brain and nervous system.
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Jan 3, 2024 · 1. What is a neural network? A neural network is an artificial system made of interconnected nodes (neurons) that process information, modeled after the structure of the human brain. It is employed in machine learning jobs where patterns are extracted from data. 2. How does a neural network work?
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.
A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Neural networks are intricate networks of interconnected nodes, or artificial neurons, that collaborate to tackle complicated problems.
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. There are two main types of neural network.
A neural network is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning (ML) process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.
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.
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.
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.
An artificial neural network learning algorithm, or neural network, or just neural net, is a computational learning system that uses a network of functions to understand and translate a data input of one form into a desired output, usually in another form.
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.
