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How to output the visualization intermediate layer #104

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@Jie-Lii
    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.

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