Practical Insights on Data Challenges in Deep Learning Projects

Speaker: Ariel Biller , Abstract: Data is the most precious resource of deep learning research. As such, it should be handled carefully, from data gathering, data annotation, data QA and data versioning. However, even if you managed to perform all the above tasks in the best possible way, data holds challenges that can dramatically affect your performance. In this talk, we discuss the fact that your data is most likely biased and that it affects the performance of your model. We will show how to