Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery
In this article, we consider ashy bines protein powder a version of the challenging problem of learning from datasets whose size is too limited to allow generalisation beyond the training set.To address the challenge, we propose to use a transfer learning approach whereby the model is first trained on a synthetic dataset replicating features of the