From Inside the Artificial Brain That’s Remaking Google, a Wired article:
[P]erhaps half of the teams now using the Google Brain software are simply downloading the source code, tweaking a configuration file, and then pointing Google Brain at their own data. “If you want to do leading edge research in this area and really advance the state-of-the-art in what kinds of models make sense for new kinds of problems, then you really do need a lot of years of training in machine learning,” says Dean. “But if you want to apply this stuff, and what you’re doing is a problem that’s somewhat similar to problems that have already been solved by a deep model, then…people have had pretty good success with that, without being deep learning experts.
“Google is not really a search company. It’s a machine-learning company,” says Matthew Zeiler, the CEO of visual search startup Clarifai, who worked on Google Brain during a pair of internships. He says that all of Google’s most-important projects—autonomous cars, advertising, Google Maps—stand to gain from this type of research. “Everything in the company is really driven by machine learning.”