neuronal network ?

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https://www.ibm.com/cloud/learn/neural-networks

What are Neural Networks? | IBM
https://www.ibm.com/cloud/learn/neural-networks
Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

https://www.futura-sciences.com/tech/definitions/informatique-reseau-neuronal-601/

Définition | Réseau neuronal – Réseau de neurones …
https://www.futura-sciences.com/tech/definitions/informatique-reseau-neuronal-601/
Anglais : neural network. Ensemble de neurones formels interconnectés permettant la résolution de problèmes complexes tels que la reconnaissance des formes ou le traitement du langage naturel,…

https://en.wikipedia.org/wiki/Artificial_neural_network

Artificial neural network – Wikipedia
https://en.wikipedia.org/wiki/Artificial_neural_network
Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit …

https://en.wikipedia.org/wiki/Neural_networks

Neural network – Wikipedia
https://en.wikipedia.org/wiki/Neural_networks
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.

https://www.investopedia.com/terms/n/neuralnetwork.asp

Neural Network Definition – Investopedia
https://www.investopedia.com/terms/n/neuralnetwork.asp
What is a Neural Network? A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain…

https://towardsdatascience.com/understanding-neural-networks-19020b758230

Understanding Neural Networks. We Explore How Neural …
https://towardsdatascience.com/understanding-neural-networks-19020b758230
In a neural network, changing the weight of any one connection (or the bias of a neuron) has a reverberating effect across all the other neurons and their activations in the subsequent layers. That’s because each neuron in a neural network is like its own little model.

https://assiste.com/Terminologie_officielle_francaise/Reseau_neuronal.html

Réseau neuronal (« Neural network ») – Assiste
https://assiste.com/Terminologie_officielle_francaise/Reseau_neuronal.html
Réseau neuronal (« Neural network ») – Terminologie officielle française publiée au Journal Officiel de la République française du 10 oct 1998 – équivalent étranger : Neural network. 11.11.2016 – Révision 11.11.2016 – Révision mineure 22.12.2020. Auteur : Pierre Pinard.

https://www.journals.elsevier.com/neural-networks/

Neural Networks – Journal – Elsevier
https://www.journals.elsevier.com/neural-networks/
Neural Networks is the archival journal of the world’s three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each…

https://www.deepl.com/fr/translator

Neural networks and deep learning
neuralnetworksanddeeplearning.com
Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data Deep learning, a powerful set of techniques for learning in neural networks

https://datascientest.com/convolutional-neural-network

Convolutional neural network | Deep Learning | DataScientest

Convolutional Neural Network : Tout ce qu’il y a à savoir

Lors de la partie convolutive d’un Convolutional Neural Network, l’image fournie en entrée passe à travers une succession de filtres de convolution.Par exemple, il existe des filtres de convolution fréquemment utilisés et permettant d’extraire des caractéristiques plus pertinentes que des pixels comme la détection des bords (filtre dérivateur) ou des formes géométriques.