keras-grad-cam
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jacobgil
An implementation of Grad-CAM with keras
Hi I have trained a model which has several convolution and batch normalization layers and 2 classifier layers. This model trained with 5000 medical images categorized to 2 classes. Know,...
From my read of the GradCAM paper, this matrix should be initialized with zeroes, so that cam contains only the weighted sum of the entries in outputs. Feel free to...
I've tried loading my own model (A fine tuned version of VGG16) using load_model but I get this error: `AttributeError Traceback (most recent call last) in () 146 147 predicted_class...
Hi, @jacobgil As a result of classifying with Resnet, Accuarcy is over 99%. If you hit map the object area with gradCAM with that model file, it does not match...
Hi, thanks for such a great blogpost. love it. I'm trying to understand the paper's approach deeper with your code implementation. As far as I know, the paper suggests getting...
Hi @jacobgil Thanks for sharing the code. I've been working with it and here's a version I ended up with. Please feel free to edit it and correct me if...
Does this implementation only work with ImageNet like images or can it be tuned to your specific problem?
Hi. Good job putting this together. I was wondering whether `loss=K.sum(...)` should be replaced with `K.max(...)` once we are interested on the output for the class with highest output value...
