'One machine learning model to rule them all': Google open-sources tools for simpler AI ZDNet

Google hopes its Tensor2Tensor library will help accelerate deep-learning research. Google researchers have created what they call "one model to learn them all" for training AI models in different tasks using multiple types of training data. The researchers and the AI-focused Google Brain Team have packaged up the model along with other tools and modular components in its new Tensor2Tensor library, which they hope will help accelerate deep-learning research. The framework promises to take some of the work out of customizing an environment to enable deep-learning models to work on various tasks. As they note in a new paper called'One model to learn them all', deep learning has had success in speech recognition, image classification and translation, but each model needs to be tuned specifically for the task at hand.