Many deep-learning image classification networks have already made heavy use of transfer learning, and it's likely that the design approach will continue to play an important role in pushing ...

Examples of Transfer Learning: Image classification: A model trained on a large image dataset such as ImageNet can be repurposed for a new, smaller dataset.

Key Characteristics of Transfer Learning: Pre-trained models: In transfer learning, models are initially trained on large datasets, often unrelated to the target task. For example, models like BERT ...