A general deep transfer learning framework for predicting the flow field of airfoils with small data

•A novel and robust model based on the idea of GAN, BiFlowAN, is proposed to precisely predict the flow field.•A general deep TL framework is designed as an effective way to increase the generalization of the BiFlowAN on a limited flow field dataset.•The proposed methods can be used as a deep learning framework to cope with the difficulties in learning from small-scale data in airfoil design, lightening the burden of expensive data.