Hardware for Deep Learning – Towards Data Science

Deep Learning's recent success is unstoppable. From categorizing objects in images and speech recognition, to captioning images, understanding visual scenes, summarizing videos, translate language, paint, even produce images, speech, sounds and music! The results are amazing, and so the demand will rise. Imagine you are Google or Facebook or Twitter: after you find a way to "read" the content of images and videos to make a better model of your users, what they like, what they talk about, what they recommend, and what they share. You would probably like to do more of it!