better results but with the ResNet architectures they always get better results towards taking it as close to the output as you can get so again this would mean like should you take it from like here or should you take it from down here like towards the output or from the intermediate features so the data sets to the tests our image net which is 1.3 million images in the thousand classes and then the places 205 which is 2.5 million images in 205 classes and these are pretty different data sets and it's used just for a