Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

P. MishraExplainable AI Recipes https://doi.org/10.1007/978-1-4842-9029-3_7

7. Explainability for Deep Learning Models

Pradeepta Mishra¹  

(1)

Bangalore, Karnataka, India

 

Deep learning models are becoming the backbone of artificial intelligence implementations. At the same time, it is super important to build the explainability layers to explain the predictions and output of the deep learning model. To build trust for the deep learning model outcome, we need to explain the results or output. At a high level, a deep learning layer involves more than one hidden layer, whereas a neural network layer has three layers: the input layer, the hidden layer, and the ...