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A4.3 Machine learning approachesA4.3.8

Structure and function of ANNs and multi-layer networks

Outline the structure and function of ANNs and how multi-layer networks are used to model complex patterns in data sets

AHL≈ 60 minCommand term: OutlinePremium

In this lesson

  • Outlining how an artificial neural network processes and learns from input data
  • Sketching a single perceptron: inputs, weights, bias, activation function and output
  • Sketching a multi-layer perceptron and outlining how hidden layers model complex patterns

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What's inside

  1. LearnNetworks of artificial neurons
  2. LearnA single perceptron
  3. LabInside one perceptron
  4. LearnActivation functions
  5. CheckQuick check
  6. LearnMulti-layer perceptrons
  7. LearnHow a network learns
  8. LabTrain a multi-layer network
  9. CheckOrder the steps
  10. CheckMatch each term to its meaning
  11. ExamWorked exam answer
  12. ReviewMistakes examiners see
  13. Exam practiceExam-style questions

Ends with 5 exam-style questions worth 11 marks, with a self-marking markscheme.