Fine-tuning
In deep learning, fine-tuning is the process of adapting a computational model trained for one task to perform a different, usually more specific, task. It is considered a form of transfer learning, as it reuses knowledge learned from the original training objective.
In deep learning, fine-tuning is the process of adapting a computational model trained for one task to perform a different, usually more specific, task. It is considered a form of transfer learning, as it reuses knowledge learned from the original training objective.
Kaynak: Wikipedia (İngilizce, CC BY-SA) — https://en.wikipedia.org/wiki/Fine-tuning_(deep_learning)
Kaynak: Wikipedia (İngilizce, CC BY-SA) — https://en.wikipedia.org/wiki/Fine-tuning_(deep_learning)