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## 1. GUI tools
* Deep Visualization Toolbox [code](https://github.com/yosinski/deep-visualization-toolbox) | [paper](http://yosinski.com/deepvis)
* Deep Visualization Toolbox [code](https://github.com/yosinski/deep-visualization-toolbox) | [pdf](http://yosinski.com/deepvis)
## 2. Feature Visualization / Activation Maximization
* DGN-AM
* PPGN
* Synthesizing the preferred inputs for neurons in neural networks via deep generator networks [code](https://github.com/Evolving-AI-Lab/synthesizing) | [pdf](anhnguyen.me/project/synthesizing)
* Plug and Play Generative Networks [pdf](anhnguyen.me/project/ppgn/) | [code](https://github.com/Evolving-AI-Lab/ppgn)
## 3. Heatmap / Attribution
* Learning how to explain neural networks: PatternNet and PatternAttribution ([pdf](https://arxiv.org/abs/1705.05598))