Explainable and Interpretable Deep Learning Models

Mohammad A Jafar Mazumder

Opinion

Explainable and Interpretable Deep Learning Models

Md Shamsuzzaman¹* and Mysore Satish²

¹Engineering Division, Saint Mary’s University, Halifax, Nova Scotia, Canada

²Civil & Resource Engineering, Dalhousie University, Halifax, Nova Scotia, Canada

Corresponding Author

Received Date: May 22, 2020; Published Date: June 09, 2020

Abstract

As is well known, the objective of modeling is to capture the intended behavior of a system in such a way that it can be used for inference, prediction and/or classification. Surely, the obtained model can be used as a crucial tool for decision making in many cases. Machine learning (ML) and deep learning (DL) are branches of artificial intelligence, where the model with the associated parameters are developed using data. Here, we use DL to mean Deep Artificial Neural Network explicitly.

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