The field of Machine Learning and Artificial Intelligence has become very important. We have new advancements that have been there with each day. The area is impacting all spheres. By utilizing finely developed neural network architectures, we have models that are distinguished by extraordinary accuracy within their respective sectors. Despite their accurate performance, we must still fully understand how these neural networks function. We must know the mechanisms governing attribute selection and prediction inside these models to observe and interpret results. The intricate and nonlinear nature of deep neural networks (DNNs) often leads to conclusions that may exhibit bias towards
This is a companion discussion topic for the original entry at https://www.marktechpost.com/2023/10/08/this-ai-paper-reveals-a-new-approach-to-understand-deep-learning-models-unpacking-the-where-and-what-with-concept-relevance-propagation-crp/