Transfer Learning in Machine Learning.
Transfer learning is a process in Machine Learning to reuse models that are already developed and trained with the huge dataset. Transfer learning is widely used in computer vision applications because the models are pre-trained with the Imagenet database. it is a widely accepted technique, popular in machine learning because training a model needs a […]