Before revision: While deep neural networks (DNNs) are being increasingly used to make predictions from high-dimensional, complex data , they are widely seen as uninterpretable "black boxes", since it can be difficult to discover what input information is used to make predictions.
After revision: While deep neural networks (DNNs) are being increasingly used to make predictions from functional magnetic resonance imaging (fMRI) data. However , they are widely seen as uninterpretable "black boxes", since it can be difficult to discover what input information is used to make predictions.