Neural Networks
Neural networks are computing systems inspired by biological brains, built from layers of interconnected nodes that learn patterns from data. They power image recognition, language translation, recommendation engines, and many other tasks where traditional programming rules would be impractical to write by hand.
itArtificial intelligence and machine learning
Intro
Neural Networks
A neural network is a computational model that learns to map inputs to outputs by adjusting internal parameters. You feed it examples, and it discovers the patterns that connect those examples to correct answers. The result is a system that generalizes — it handles inputs it has never seen before.
Neural networks matter because they solve problems where writing explicit rules is impossible or impractical. Recognizing a face in a photo, translating a sentence between languages, predicting equipment failure from sensor readings — these tasks require the system to learn structure from data rather than follow human-authored instructions.
Why neural networks exist
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