Deep learning can classify images efficiently, and transfer learning can also be leveraged to accelerate image classification. In transfer learning, the models are first-pre-trained on bigger datasets like Imagenet. These models learn visual representations, later transferred via fine-tuning to a new task with fewer data. Previously, researchers could achieve state-of-the-art performance on various classification tasks like the VTAB... Read More