In an exemplary embodiment, a method for extracting a model from an existing machine learning model may be shown and described. In black-box models, transfer learning consists of transferring knowledge with the objective of learning new patterns. However, in an exemplary embodiment, transfer learning presents the concept of converting an explainable neural network into logically equivalent variants, which may not be possible with black-box neural networks, which typically consist of multiple fully-connected layers. The white-box nature of an exemplary XNN or XAI enables new ways of transferring knowledge with intelligent conversions of neural networks in ways that are impossible to do with a black-box model.