score = BinaryScore(label[i])
replace2linear = ReplaceToLinear()
saliency = Saliency(model_m, model_modifier=replace2linear, clone=True)
saliency_map = saliency(score, mat, normalize_map=True)
I‘m using the Vanilla Saliency method in tf keras vis to visualize my model, but I can only obtain the visualization results of the input data. Is there a method in this package that can visualize intermediate outputs?
Looking forward to your reply.
I‘m using the Vanilla Saliency method in tf keras vis to visualize my model, but I can only obtain the visualization results of the input data. Is there a method in this package that can visualize intermediate outputs?
Looking forward to your reply.