Google's Deep Learning - Speech Recognition

Now it turns out that they probably did work all along but we weren't doing things in quite the right way and we had no clear idea of the scale needed. To make neural networks fulfill their promise you need to first give then some deep structure and not rely on a random or simplistic architecture. Next you need to train big systems with big data - lots of it. Until quite recently finding enough data in the right form, and finding the large amounts of computer power to do the training, was a difficult problem. The data problem has been eased by the growth of the web and the computing problem by the growth of cloud computing.