Google wants to speed up image recognition in mobile apps

Google wants to spread the deep learning to more developers, so it has unveiled a mobile AI vision model called MobileNets. The tech is part of TensorFlow, Google's deep learning model that recently shrunk down to mobile size in a new version called TensorFlow Lite. The larger the model, the better it is at recognizing landmarks, faces or doggos, with the most CPU-intensive ones hitting scores of between 70.7 and 89.5 percent accuracy. Those aren't far from Google's cloud-based AI, which can recognize and caption objects with around 94 percent accuracy, last we checked.