keras-vis

[wtm_mlop_cats]

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.

Features

Currently supported visualizations include:

Activation maximization
Saliency maps
Class activation maps

Official website

Tutorial and documentation

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