###### Deep Visualization Toolbox

Github: https://github.com/yosinski/deep-visualization-toolbox

###### Understanding Image Representations by Inverting Them

Paper: https://arxiv.org/pdf/1412.0035v1.pdf

###### Learning FRAME Models Using CNN filters

Project page: http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html

###### Convergent Learning: Do different neural networks learn the same representations?

Github: https://github.com/yixuanli/convergent_learning

###### Torch-visbox

https://github.com/Aysegul/torch-visbox

###### Plot caffe models online

http://ethereon.github.io/netscope/#/editor

###### Grad-CAM: Gradient-weighted Class Activation Mapping

https://github.com/ramprs/grad-cam/

###### Quiver: Interactive Feature Visualization for Keras

https://github.com/jakebian/quiver

**CS231 Stanford notes on Visualization**

http://cs231n.github.io/understanding-cnn/