Neural network
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British pronunciation/njˈuːɹəl nˈɛtwɜːk/
American pronunciation/nˈʊɹɹəl nˈɛtwɜːk/

Définition et Signification de "neural network"

Neural network
01

réseau neuronal

a complex system of interconnected neurons that processes and transmits information in the body

What is a "neural network"?

A neural network is a complex interconnected system of neurons that functions as a fundamental component of the nervous system. It consists of numerous specialized cells called neurons, which are interconnected through synapses to transmit and process information. Neural networks play a crucial role in various biological processes, including sensory perception, motor control, and cognitive functions. They form intricate networks within the brain and spinal cord, allowing for the transmission of electrical signals and the integration of sensory inputs. Neural networks are capable of learning and adapting through synaptic plasticity, enabling them to process and analyze vast amounts of information to generate appropriate responses.

02

réseau neuronal

computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error
example
Exemple
examples
Researchers disassembled the neural network model to analyze its architecture.
The neural network model mimics the interconnected structure of the brain to process information.
Variational autoencoders are a type of neural network architecture used in machine learning for generative modeling.
The software generates synthetic data to augment the training dataset for neural network models.
After years of research, they finally achieved a breakthrough in understanding the brain's neural networks.
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