#transfer-learning
settings_applications How do you approach transfer learning when training on a new dataset?
Transfer learning is a machine learning technique that enables the use of a pre-trained model on a new, related task. This approach has become... Read more
transfer_within_a_station How do you handle the issue of domain adaptation when training on new datasets?
Domain adaptation is an important problem in machine learning when we want to use a model trained on one domain to make predictions on another... Read more