Month: July 2021

Explainable Neural Networks

Explainable Neural Networks: Recent Advancements, Part 1 Explainable Neural Networks: Recent Advancements, Part 2 Explainable Neural Networks: Recent Advancements, Part 3 Network In Network by Min Lin 2013 Gradient Based Approaches Visualizing Gradients (2014) In the paper “Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps“ Karen Simonyan et. al. proposed two visualisation …

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Interpretable Machine Learning

Books Interpretable Machine Learning: A Guide for Making Black Box Models Explainable by Christoph Molnar Papers Doshi-Velez, Finale, and Been Kim. “Towards a rigorous science of interpretable machine learning” 2017.