Explainable AI: Integrated Gradients for Deep Neural Network Predictions

Integrated Gradient Result | Photo: Author

Integrated Gradients make it possible to examine the inputs of a deep learning model on their importance for the output. A major criticism of deep neural networks is their lack of interpretability, as we know it from linear regression, for example. There, we can use the weights to tell relatively accurately how much an independent variable affects the value of the…