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Hi,
I have a network which outputs a tuple containing two elements. one of them is a scalar which is the one I want to use for multiple methods in captum.
Is there any way to handle multiple outputs…
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Atm, guided backpropagation is included in Grad CAM automatically (see [here](https://github.com/sicara/tf-explain/blob/1a75841762985e55abe19107d09279f68f5731c8/tf_explain/core/grad_cam.py#L89)). The …
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https://github.com/sicara/tf-explain/blob/8dff129ff7b1012dba2761a61e3c3e68e9ecbec2/examples/core/grad_cam.py#L19
![image](https://user-images.githubusercontent.com/66376262/91312611-0fa76b00-e7d2-1…
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In grad-cam paper,the authors use the gradient of the score for class c namely y^c partial derivative of feature maps A^k of a convolutional layer to obtain the neuron importance weights.But how to c…
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I find the "target_layer_names" of these two models, but when I run the modified code, I get the following error:
**RuntimeError: size mismatch, m1: [1 x 277248], m2: [768 x 1000] at /opt/conda/con…
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Hello.
Thank you for sharing your work.
I'm studying deep learning in fastai course and trying to visualize my DL model.
I found your work about Grad-CAM and guided Grad-CAM visualization in the f…
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Hi, thanks for great project. It works very well.
I have technical question about preprocessing the image for the cnn.
I looked into your examples, but normally every image which is input to VGG…
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Hello,
I am trying to work on an Intepretable AI solution for Image classification. Our work is based on Smooth Grad CAM plus plus. I had a perfectly working code until I installed pytorch in my …
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GuidedBackpropReLUModel has bugs.
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Good day! I use fine-tuning loaded model ResnetXt-101 from .pth file. GradCam works good with my model, but when I try to use GuidedBackprop I get the error:
-> 80 gradients_as_arr = self.g…