from imagenet to the bird image classification model they achieve a really high level of transfer learning performance compared to previous approaches this chart shows the difference between fine-tuning just a fully connected layer at the end of the network compared to the full network and then the performance achieved after doing this they also test this model on video classification with the deep mind kinetics data set and they show a significant improvement achieving seventy five point nine percent accuracy