Explainable AI for Image Classification

Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM) for image classification tasks.

Explainable AI for Image Classification

This repository shows an example of how to use MATLAB to produce post-hoc explanations -- using Grad-CAM -- for two image classification tasks.

Requirements

• MATLAB 2022b or later
• Deep Learning Toolbox
• Deep Learning Toolbox™ Model for GoogLeNet Network support package
• Parallel Computing Toolbox (only required for training using a GPU)

Suggested steps

1. Download or clone the repository.
2. Open MATLAB.
3. Run the example.mlx script and inspect results.

Additional remarks

• You are encouraged to expand and adapt the example to your needs.
• The choice of pretrained network and hyperparameters (learning rate, mini-batch size, number of epochs, etc.) is merely illustrative.
• You are encouraged to (use Experiment Manager app to) tweak those choices and find a better solution.