Comments (3)
Hi @zxupstar,
FlashTorch is fairly agnostic to various CNN architectures.
For creating saliency maps, your model needs to have at least one conv2d layer as it will find the first conv2d layer and grabs gradients from it. For activation maximisation, you have the control to specify which layers/filters to visualise.
I'll leave this open for a week in case you have any further questions. After this I will close this so please feel free to open another issue with details.
Many thanks,
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Hi @MisaOgura I am having problems using activation maximization on my own model. Have mentioned the details in a new issue. Can you please have a look ?
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I'm closing this for now - @zxupstar please re-open this if/when needed.
Thanks @SarfarazHabib I will reply on the thread in #34
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Related Issues (20)
- python2 or python3? HOT 1
- NOT WORKING FOR CONV3D HOT 1
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