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Item 315 of 426 · Year 12: Software Automation, 22 of 35

Neural network code (predict)

Code pattern

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  1. Exam format, question types and command words (46)
  2. Year 11: Programming Fundamentals (69)
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  5. Year 12: Secure Software Architecture (57)
  6. Year 12: Programming for the Web (59)
  7. Year 12: Software Automation (35)
  8. Year 12: The Software Engineering Project (47)
  9. Diagrams and modelling tools (18)
  10. Python, SQL, pseudocode and CSS patterns (33)

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Definition

Create the model object, train (fit) on training data, then call predict on new data to make predictions.

Example

net.fit(X, y); net.predict(new)

Found in: syllabus, course specifications, 2025 HSC marking guidelines, school notes.

Where you'll use it in the test

Syllabus area: Y12 Software Automation.

Question types it can appear in

  • Python: Write or complete it in the online Python tool.
  • Code reading: Code or algorithm reading: interpret a fragment and state its output or purpose.

How to use it

A model sentence

General advice, built from the definition and example above

Code pattern: “Create the model object, train (fit) on training data, then call predict on new data to make predictions.” Then apply it: net.fit(X, y); net.predict(new)

In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.

Go deeper

Check yourself

Write or say the “Neural network code (predict)” pattern from memory: the syntax and what it does.

Reveal the answer

Create the model object, train (fit) on training data, then call predict on new data to make predictions.

Example: net.fit(X, y); net.predict(new)

Could be tested as: Python, Code reading.