Generalization is one of the biggest challenges in machine learning due to how it learns: from data. How can we make the model work on any examples after only training on a few (or many but finite) examples? We use many tricks like data augmentation, normalization, etc., but its ability to generalize is still (extremely) far from humans. posted on Instagram - https://instagr.am/p/CY3tqRyL4Li/







