A computational model loosely inspired by biological brains, made of layers of simple connected units, or neurons, whose connection strengths are adjusted through training so the network learns to map inputs to outputs.
Facts
Core PrincipleAn artificial neural network is made of connected artificial neurons, each of which receives signals from other neurons, processes them, and passes a signal on, with connection strengths adjusted through training so the network learns to map inputs to outputs. 1 Connections
Sources
1. Wikipedia: Neural Network (Machine Learning)
Wikimedia FoundationArtificial neurons section
Each artificial neuron receives signals from connected neurons, then processes them and sends a signal to other connected neurons.
History section, McCulloch and Pitts
Warren McCulloch and Walter Pitts (1943) considered a non-learning computational model for neural networks.
View the Source Neural network (Wikipedia)
In Group: Machine Learning Models, LeadQuote, In Group: Machine Learning Models, Lead
A neural network is a group of interconnected units called neurons that send signals to one another.
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