Optimize Transfer Learning for Autism Spectrum Disorder Classification with Neuroimaging: A Comparative Study

The field of neuroimage classification using deep neural networks (DNN) is a fast-moving area. With the absence of sufficient neuroimaging data, transfer learning based DNN plays a significant contribution in image classifications. The associated optimizers support generating promising results using these deep learning models. This study explores the optimal combinations of hyperparameters to achi...