communitywhe.blogg.se

As an example, consider this image of a fireboat spraying jets of water.

In this tutorial, you will walk through an implementation of IG step-by-step to understand the pixel feature importances of an image classifier. images, text, structured data), ease of implementation, theoretical justifications, and computational efficiency relative to alternative approaches that allows it to scale to large networks and feature spaces such as images. IG has become a popular interpretability technique due to its broad applicability to any differentiable model (e.g. It has many use cases including understanding feature importances, identifying data skew, and debugging model performance.

IG aims to explain the relationship between a model's predictions in terms of its features. This tutorial demonstrates how to implement Integrated Gradients (IG), an Explainable AI technique introduced in the paper Axiomatic Attribution for Deep Networks.