DataLab 1: XAI

In today's DataLab, we will learn how to apply the methods we were introduced to in yesterdays workshop; and further, investigate the applicability of these methods to the creative brief.

Learning Objectives:

  • Understand how to interepret PDPs
  • Apply LIME to the (f)mnist dataset for explaining image classification
  • Investigate the applicability of these methods to the creative brief.

Preparation

  • Written assignment on XAI.

  • Apply PDPs to your model and explain it's findings. Please open the XAI_DataLab1_PDP notebook you can find in your Github Repositories in Google Colab and follow the instructions provided in the Notebook.

Day outline

Partial Dependence Plots [1 hour]

  • Ensure you know how to estimate, plot and interpret partial dependence plots.

LIME [3 hours]

  • Please open the XAI_DataLab1_LIME notebook you can find here and follow the instructions provided in the Notebook.

Deep Learning Creative Brief [3 hours]

  • Please use this session to post open questions about the creative brief.

Questions or issues?

If you have any questions or issues regarding the course material, please first ask your peers or ask us in the Q&A in Datalab!

Tip: Note down any important questions you might have!

Good luck!

Deliverable(s):

  • A Jupyter Notebook that contains relevant code and explanations.