Explainability and interpretability in neural networks are crucial for understanding how these models make decisions, especially in critical applications like healthcare, finance, and autonomous vehicles. Several software tools and libraries have been developed to aid in this process, providing insights into the inner workings of complex models. Here are some notable ones: ### 1. LIME…… Continue reading Notes on explainability & interpretability in Machine Learning – ChatGPT & BARD generated