Leveraging TensorLeap for Effective Transfer Learning: Overcoming Domain Gaps - MarkTechPost

Nowadays, constructing a large-scale dataset is the prerequisite to achieving the task in our hands. Sometimes the task is a niche, and it would be too expensive or even not possible to construct a large-scale dataset for it to train an entire model from scratch. Do we need to train a model from scratch in all cases? Imagine we would like to detect a certain animal, let's say an otter, in images. We first need to collect many otter images and construct a training dataset.