Evolution of Transfer Learning

Lukas and Polly discuss the evolution of transfer learning in image recognition and its potential applications in biology. They explore the challenges and opportunities in adapting models trained on large datasets to smaller, less characterized datasets, highlighting the importance of functional annotation in biological data analysis.