 We propose a transfer learning-based method for SAR target classification using deep convolutional neural networks, CNNs, which involves training a large number of unlabeled SAR scene images and reusing pre-trained convolutional layers to transfer knowledge to labeled SAR target data, with feedback bypass introducing the reconstruction loss simultaneously. This article was authored by Sholing Huang, Zongshu Pan, and Bin Lei.