Deep learning models, such as those used in medical imaging to help detect disease or abnormalities, must be trained with a lot of data. However, often there isn’t enough data available to train these models, or the data is too diverse.Deep learning models, such as those used in medical imaging to help detect disease or abnormalities, must be trained with a lot of data. However, often there isn’t enough data available to train these models, or the data is too diverse.Machine learning & AI[#item_full_content]