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Neural Networks

[ˈn(j)ʊrəl ˈnɛtwɜrks]
Machine Learning
Last updated: December 9, 2024

Definition

Computing systems inspired by the human brain that learn from data.

Detailed Explanation

Neural Networks are computational models that mimic the structure and function of biological neural networks in the brain They consist of layers of interconnected nodes (neurons) that can process and transmit information Neural networks are capable of learning complex patterns through training algorithms making them essential in machine learning and deep learning.

Use Cases

Image recognition (identifying objects in photos) speech recognition (transcribing spoken words) medical diagnosis (detecting diseases from scans) financial forecasting (predicting market trends).

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