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Artificial Neural Networks

[ɑːtɪˈfɪʃəl ˈnjʊəɹəl ˈnɛtwɜːks]
Deep Learning
Last updated: December 9, 2024

Definition

Computing systems inspired by biological neural networks that can learn to perform tasks from examples

Detailed Explanation

Artificial Neural Networks (ANNs) are computational models that consist of interconnected nodes (neurons) organized in layers. Each connection has a weight that determines its strength and nodes use activation functions to process inputs. Through training these networks adjust their weights to minimize error in their predictions.

Use Cases

Pattern recognition classification tasks function approximation control systems

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