IIIA-CSIC Seminar: From transfer learning to continual learning
One of the major assets of deep neural networks is that when trained on large data sets (source data), their knowledge can be transferred to small datasets (target data). Transfer learning for deep neural networks can be simply performed by finetuning the network on the new data. This talk will introduce the research field of […]