Transfer Learning.
‘Domain-Adversarial Training of Neural Networks.’ It involves adding an extra objective to the source model to encourage similarity by obscuring the domain itself. One-shot learning One-shot learning, a subset of transfer learning, is a technique in which an algorithm derives the desired output