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Visualization: Saliency Maps :: Ori Codes #5

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Visualization: Saliency Maps :: Ori Codes

Ori's self-driving RC car

https://ori.codes/artificial-intelligence/visualization/saliency-maps/

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  1. gcordova19 commented on Aug 26, 2021

    @gcordova19

    Hi,

    I run your code but I didn't know why you use
    upscaled_activation = np.ones((53, 73))

    Checking your inspiration github i realize
    upscaled_activation = np.ones((3, 6))

    So I have problems
    averaged_activation = np.mean(activations[layer], axis=3).squeeze(axis=0) * upscaled_activation
    In my case np.mean(activations[layer], axis=3).squeeze(axis=0) is (1, 18)
    if I multiply by upscaled_activation in any case work by dimentions.

    I would like to know why to use that dimension in upscaled_activation

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