This course is designed for students who understand deep learning and convolutional neural networks and studies research topics related to convolutional neural networks. Topics can include residual network, knowledge distillation, network minimization, image-to-image translation, continual learning, domain adaptation, data augmentation, self-supervised learning, meta-learning, attention.
