Deep Learning (DL) · Intermediate level

Intermediate level · Module 6: Intermediate Deep Learning Project · Lesson 3 of 3

Evaluation and Presentation

Evaluate the chosen model on the field test, analyse errors and present recommendations.

In this lesson you will

  • Report field performance and error analysis
  • Present recommendations and limits

Key concepts

field test resultserror categorieslimitspresentation and demonstration

The lesson

Evaluate the chosen model once on the field test set and report per-class results.

Summarise the error analysis and recommend next steps: data to collect, classes to merge, how staff should handle uncertain predictions.

Present with a live demonstration on new photos, including one the model gets wrong, and explain the limits honestly.

Step by step

  1. Run the final field evaluation.
  2. Summarise errors and recommendations.
  3. Prepare a live demonstration.
  4. Present and answer questions.

Practice activity

Deliver the evaluation report and presentation.

Expected result: An honest evaluation and a clear presentation with a live demonstration.

Check your understanding

  1. Why show a wrong prediction in the demonstration?

    Show answer

    To show honestly how and when the model fails.

  2. How should staff handle uncertain predictions?

    Show answer

    Check them manually rather than trusting the model.

Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.