📚 node [[transfer_learning]]

transfer learning

Go back to the [[AI Glossary]]

Transferring information from one machine learning task to another. For example, in multi-task learning, a single model solves multiple tasks, such as a deep model that has different output nodes for different tasks. Transfer learning might involve transferring knowledge from the solution of a simpler task to a more complex one, or involve transferring knowledge from a task where there is more data to one where there is less data.

Most machine learning systems solve a single task. Transfer learning is a baby step towards artificial intelligence in which a single program can solve multiple tasks.

📖 stoas
⥱ context
⥅ related node [[transfer of learning from a modern multidisciplinary perspective]]
⥅ related node [[transfer learning ibm]]