Pirates are evil? The Marines are righteous? These terms have always changed throughout the course of history! Kids who have never seen peace and kids who have never seen war have different values! Those who stand at the top determine what's wrong and what's right! This very place is neutral ground! Justice will prevail, you say? But of course it will! Whoever wins this war becomes justice! - Donquixote Doflamingo • Pirates are evil? The Marines are righteous? These terms have always changed throughout the course of history! Kids who have never seen peace and kids who have never seen war have different values! Those who stand at the top determine what's wrong
Transfer learning involves taking a model pre-trained on a large, general dataset (e.g., ImageNet) and adapting it to a new, specific task or domain (e.g., gel formation analysis). This is done by:
Fine-Tuning: Updating the weights of the pre-trained model using a smaller, task-specific dataset.
Feature Extraction: Using the pre-trained model as a fixed feature extractor and training a new classifier on top of it.