Reference no: EM132814124

CIS006-2 Concepts and Technologies of Artificial Intelligence - University of Bedfordshire

Assignment - Design of Machine Learning Solution for Biometric Recognition Task

Learning outcome 1: Demonstrate results of using an established AI technique which is capable of finding a solution to a given AI problem represented by a data set

Learning outcome 2: Identify the cases of correct and incorrect outcomes generated by the technique on the given data set

Learning outcome 4: Evaluate the accuracy of the technique in terms of rates of correct outcomes

Task
Students will develop a Machine Learning (ML) solution to solve a biometric recognition task, capable of providing the highest recognition accuracy. The facial images are taken from real subjects in slightly different conditions, so that the images can be misclassified, that makes the ideal 100% accurate recognition difficult or even impossible. Students will design a ML solution providing the minimal recognition errors.

1. Create a Colab project account (5%) [applied when students use other IDE]

2. Upload the project data and scripts (5%)

3. Run the project scripts to build an ANN on the data (10%)

4. Analyse and describe the ANN outcomes (22%)

5. Total to pass 42%

6. Identify a set of parameters required to be adjusted within an ANN technique in order to optimise the solution in terms of recognition accuracy

7. Explain how the ANN parameters influence the recognition accuracy

8. Run experiments in order to verify the solution on a data set

9. Analyse and compare the results of the experiments

10. For A grades (>70%), students will make a 5-min video demonstration of developed artefact

11. For A+ grade (>75%) external examiners would like to see reports at a publishable level demonstrated in the above Examples Section

Attachment:- Assignment Brief.rar