Keras-vis provides high-level visualization tools for debugging and interpreting deep neural networks. It supports activation maximization, saliency maps, and class activation maps as energy minimization problems. The toolkit generalizes these visualizations to work with N-dimensional image inputs and is compatible with both Theano and TensorFlow backends.