As it has built up the massive infrastructure to train and run these AI systems, Google has begun bringing these same tools to the masses. Yet, in doing so they quickly run up against the immense hardware requirements of building large deep learning models, often requiring entire accelerator farms for rapid iteration. In Google’s case it offers a hosted deep learning platform called Cloud Machine Learning Engine that takes care of the hardware needs of deep learning development, allowing companies to focus on building their models and offload the computing requirements to Google. In short, the deep learning revolution is powered by data and few companies have as much data as Google. This means that when it comes to deep learning systems, it is easy to find tools, but hard to find pretrained models that you can actually use.

Source: Forbes March 25, 2017 00:22 UTC