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The use of machine learning in medicine holds a lot of potential in the domains of patient diagnosis, monitoring and treatment. One such application is the use of Emotion intelligence to aid in the treatment of people suffering from autism spectrum disorder (ASD). As training a robust network model requires large datasets, transfer learning is often implemented. The aim of this study is to show if using pretrained weights, trained on different images, as an initial starting point for training adoi:10.1515/cdbme-2022-1170 fatcat:5ilbtvxde5fxnc6cdlvzl6vg2q