Transfer learning involves reusing features of a model trained in one task to aid in the training of another task. For example, a pre-trained CNN could be fine-tuned for a new image classification task.
Transfer learning involves reusing features of a model trained in one task to aid in the training of another task. For example, a pre-trained CNN could be fine-tuned for a new image classification task.