Transfer Learning, Machine Learning, Data Science, Pretrained Model, Model.
about the patterns and features in that dataset. The new model can then use that knowledge to learn more quickly and accurately on a smaller dataset. There are two main approaches to transfer learning: fine-tuning and feature extraction. Fine-tuning involves taking a pre-trained model and training