What are the applications of activation maximization in AI?
Activation maximization is used to visualize what neural networks learn, helping in model interpretability.
Can you give me an example of how it's used in image classification?
Sure! In image classification, activation maximization can generate images that maximize the output of a specific class, revealing features the model focuses on.
Are there any limitations to using activation maximization?
Yes, it can sometimes produce unrealistic images and may not always reflect the true decision boundaries of the model.
How does it compare to other visualization techniques?
Activation maximization is more focused on generating specific inputs for outputs, while techniques like saliency maps highlight important input regions.
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