Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set. The aim of fine-tuning is to maintain the original capabilities of a ...

Neural networks and other forms of machine learning ultimately learn by trial and error, one improvement at a time. Click to tell Google to prioritize Quanta and see more of the best coverage of ...