Comments (2)
Indeed, but this could have no effect if the activation is defined inside the Conv2D
layer. If you run the below snippet, first conv output is the output of the activation layer. Second one is the output of the convolution itself.
Maybe a more appropriate line would be grid = explainer.explain(data, model, ['target_layer'])
? What do you think?
Thanks for your feedback by the way!
from tf-explain.
Agree with your suggestion.
from tf-explain.
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from tf-explain.