be more robust because the features it learned these important characteristics will learn on a very large data set on yourself supervised data set and you were just fine-tuning on your downstream tasks where you're potentially a very little labeled data this is actually really a win-win situation here but how does this work in practice instead really usable in practice well and this is why I brought this industry case with me which we did together with upstream ability and our task at hand was estimating mode of transport from GPS