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Aviral Garg
Aviral Garg

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🧠 Neural Networks Explained

This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.

Neural Networks 🧠 are like brain-inspired systems! They have layers of nodes (neurons) πŸ”— that connect and learn patterns from data πŸ“Š. By adjusting weights βš–οΈ during training, they get better at tasks like recognizing images πŸ–ΌοΈ or understanding language πŸ—£οΈ.

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