Rahul Midha

Model explainability refers to the concept of being able to understand the machine learning model. Being able to interpret a model increases trust in AI. There are two ways to interpret a model

Audio Classification is one of the most widely used applications nowadays and a lot of research has been done on classifying audio using different kinds of features and neural network architectures. Some real-world