keras-vis is a high-level toolkit for visualizing and debugging your trained keras neural net models. Currently supported visualizations include:
Activation maximization
Saliency maps
Class activation maps
All visualizations by default support N-dimensional image inputs. i.e., it generalizes to N-dim image inputs to your model.