Deep Learning

What is a neural network?

A neural network combines weighted inputs through layers and nonlinear transformations.

✳ Beginner◷ 5–10 min + practiceTEXT-BASED LEARNING

Start from zero. Learn the meaning, explore a worked example and practise in three short text lessons. No previous AI experience is needed.

Start here · beginner

03 · Practise and check

Try this yourself

Change the bias to 3 and recompute the output. Explain which part of the computation changed.

Check your understanding

The new weighted sum is 1, so ReLU outputs 1. A bias shifts the activation boundary without changing the input weights.

A mistake to avoid

An analogy to a biological brain is only an analogy. It does not explain reliability, consciousness or general intelligence.

Before looking at the answer, write a short explanation and one example of your own. Finish by naming one limitation of the method. Use Mark as read when you are ready, or return to the previous lesson if a term is unclear.

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