[P] Better AI Explainability with Deep Feature Factorization

Hi r/MachineLearning,

I want to share what I think is a really good way of doing explainability for computer vision.

[This is a new tutorial on deep feature factorization](https://jacobgil.github.io/pytorch-gradcam-book/Deep%20Feature%20Factorizations.html) with the [pytorch-grad-cam package](https://github.com/jacobgil/pytorch-grad-cam).

The method is from [Deep Feature Factorization For Concept Discovery by Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk ](https://arxiv.org/abs/1806.10206) from 2018.

I think this is a really great idea but it was kind of overlooked and wasn't used by practitioners.

They suggested doing Non Negative Matrix Factorization on …

ai ai explainability explainability factorization feature machinelearning