Scientists have used deep learning algorithms with multiple processing layers (hence "deep") to make better models from large quantities of unlabeled data (such as photos with no description, voice recordings or videos on YouTube). Google's voice recognition algorithms operate with a massive training set -- yet it's not nearly big enough to predict every possible word or phrase or question you could put to it. And Google's deep learning algorithm discovers cats. Algorithms perform superior face recognition tasks using deep network that take into account 120 million parameters.
May-24-2016, 15:10:57 GMT