The foundation of many contemporary AI systems is made up of artificial neural networks, or ANNs. These networks are computational models that can identify intricate patterns in data. They draw inspiration from the network of neurons found in the human brain. Layers of nodes (or neurones) joined by weighted edges make up a simple neural network. The network can learn from data inputs as the weights change during training.
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