Artificial Neural Network

Artificial Neural Networks (ANNs) are computational models inspired by the human brain's structure and functioning. They consist of interconnected layers of nodes (neurons) that process information. ANNs are at the core of deep learning, enabling applications like speech recognition, fraud detection, and image classification. They learn by adjusting weights during training to minimize errors. Ongoing research focuses on improving their scalability and interpretability.

 

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