  We studied the feasibility of recognizing individual right whales (Eubalaena
glacialis) using convolutional neural networks. Prior studies have shown that
CNNs can be used in wide range of classification and categorization tasks such
as automated human face recognition. To test applicability of deep learning to
whale recognition we have developed several models based on best practices from
literature. Here, we describe the performance of the models. We conclude that
machine recognition of whales is feasible and comment on the difficulty of the
problem
